Duties: The successful candidate will work on quantification of differences and changes in the brain, using multimodal, longitudinal magnetic resonance images (MRIs), genetic information, self-reported mental health, and cognitive test scores from cohorts of individuals with known differences in biomedical risk at birth, including prenatal drug exposure. These individuals are followed over an extended period of development, now reaching well into adulthood. The data offer a unique opportunity to model heterogeneity in intercepts and slopes, of brain development, and link these to differences in biomedical risk at birth, cognition, mental health, and biomarker information
Requirements: Applicants must either hold a Master’s degree or equivalent in computational neuroscience, psychology, cognitive science, neuroscience, biomedical engineering, or a closely related field; Excellent English communication skills, orally and in writing are required; Applicants must have experience working with a high-level programming language such as MATLAB, Python, and/or R; Some competency and experience with processing neuroimaging data is required

Duties: We are seeking an outstanding candidate for a lectureship in Statistical Learning, interpreted broadly, as part of an expansion in Artificial Intelligence and Data Science research and education in the School of Mathematical Sciences. This position arises thanks to a significant new investment by the University to support our ambitions to further develop our strengths in this important area
Requirements: A PhD or equivalent professional qualifications and experience in a relevant discipline; Ability to obtain peer-reviewed funding; Evidence of distinction in research through high-quality publications; Ability for undergraduate and postgraduate teaching

Duties: This project will focus on the development of a computational infrastructure for the analysis of the exome of patients affected by rare disease. The aims of the project consist in the evaluation of the computational methods for predicting the impact of genetic variants on protein function and gene expression. Such methods are based on the integration of different information related to the networks of protein-protein interaction and genes involved in the insurgence or rare diseases, with particular focus on the intellectual disabilities associated to neurodevelopmental disorders. The final aim of the project consists in the development of a computational platform for the automatic analysis of the genetic variants and the gene expression levels in individuals to estimate the risk of developing a specific class of diseases. The project rely on the financial support of the project PNRRMR1-2022-12376067 “Multiomic strategies to implement the diagnostic workflow of rare diseases”
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: We are seeking an outstanding candidate for a Lectureship in broadly interpreted Optimisation for Machine Learning and AI within the School of Mathematical Sciences at the University of Southampton
Requirements: a doctorate and postdoctoral experience in a relevant discipline; ability to obtain peer-reviewed funding; evidence of distinction in research through high-quality publications; ability for undergraduate and postgraduate teaching

Duties: The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with researchers at the Department of Geosciences at UiT. The candidate will also interact with researchers in Visual intelligence (a center for research-driven innovation focusing on novel deep learning-based solutions for complex image analysis) and Integreat (a center of excellence focusing on combining statistics, logic, and machine learning to contribute to more knowledgedriven machine learning)
Requirements: This position requires a Norwegian master’s degree in physics, mathematics/statistics, computer science, or similar, or a corresponding foreign master’s degree recognized as equivalent to a Norwegian master’s degree; Experience in signal and image processing; A solid background in machine learning, statistics, mathematics, and linear algebra; Excellent programming skills

Duties: The overall aim of the project is to identify new drug targets/drugs for glioblastoma (GBM), the most malignant and most frequent primary brain tumor, by combining breakthrough technologies from machine learning (ML), bioinformatics, single cell and spatial transcriptomics, organoids, and biotechnology. The person appointed on this position will use causal inference and ML algorithms to identify causal gene regulatory networks in GBM long-term survivors compared to short-term survivors and link these networks to specific tumor/stromal subpopulations by screening single cell/spatial transcriptomics data
Requirements: Applicants must hold a master's degree or equivalent education in informatics, machine learning, bioinformatics, or related discipline, with several years of experience in a research environment; Experience with causal inference is a requirement; Experience with machine learning is a requirement; Experience of programming in at least one programming language is a requirement (Julia, Python, C, C++)

Workload: 100%
Duties: This position will undertake independent teaching and research in the area of Computer Science and Software Engineering. You will be expected to make a long-term contribution to research and teaching excellence in the Department. You should have University teaching experience in Computer Science, ideally including lecturing, unit co-ordination and assessment design as well as lab demonstration and other classes
Requirements: PhD in Computer Science or an academic field relevant to the discipline or other higher professional qualifications appropriate to their discipline

Duties: Our Mission Award proposal aims to utilise Engineering Biology approaches for the development of transferable strategies to engineer antibiotic-producing Streptomyces bacteria able to use a wide range of sustainable feedstocks for production of drug molecules. To deliver this mission we will integrate ‘wet ’and ‘dry ’laboratory data from an authentic industrial Streptomyces strain lineage. We will determine how the strain improvement process has driven strains to adapt to specific media and fermentation conditions and then use this information to build, design and test appropriate engineering strategies for the development and construction of Streptomyces strains that use greener carbon sources. This will ultimately enable us to learn how to rationally design of strains for greener manufacturing and make this strategy broadly applicable to other industrial Streptomyces
Requirements: We are looking for a Research Fellow with expertise in metabolic modelling and computational biology and their application for the analysis of metabolism and the design of strategies for improving the properties of microbial strains. The appointed researcher will design and construct metabolic models based on the information collected from multi-omics experiments carried out by the collaborators, and suggest and propose experiments to select the best producing species and test their performance under diverse culture conditions

Duties: The university offers support of academics from a broad range of career paths, whether you are an established academic who currently holds an equivalent position, or a successful academic seeking an opportunity to grow into a more senior role, this is the place to do something truly unique with your expertise. You will have experience in bioinformatics, epidemiology, systems biology, large-scale ‘Omics data analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans these backgrounds with a track record and demonstrated curiosity for interdisciplinary research
Requirements: To apply, you will need a PhD, or equivalent professional qualifications, with a strong publication record, and able to demonstrate delivery of teaching in a manner that meaningfully engages students. You will have a track record of innovative research in one or more of the following: Computer Science, Health Data Science, Health Research Method Development and Analysis, Bioinformatics, Epidemiology, Public Health, large-scale ‘Omics data analysis, or systems biology; and have a desire to build a strong interdisciplinary research team with the support Medicine and ECS

Duties: As a postdoctoral researcher, your key duty is to develop computational solutions to generate high-dimensional synthetic cohorts, consisting of simulated biomarker and imaging data from patients with neurodegenerative diseases, as well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based transformers). When successful, the synthesis will result in cohorts that recapitulate the original data set’s associations between multimodal features (e.g., biochemical markers, neuroimaging, cognitive testing, proteomics, and genomics), but also allow for reproducible discoveries. Additionally, the generation of synthetic data should preserve patient integrity and privacy in a way that allows for flexible and rapid sharing of the synthetic data between researchers and labs
Requirements: PhD degree in engineering, bioinformatics, statistics, computer science, mathematics, computational biology, or a related discipline. This requirement needs to be met no later than when the employment decision is made. Therefore, we also welcome applicants whose PhD degree will be completed imminently; Advanced programming skills, e.g., in R or Python; Good knowledge of machine learning, generative modelling and deep learning; Good knowledge of parallelized computing and use of computer clusters; Good knowledge of oral and written communication in English

Duties: Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery; Contribute to hands-on development of data & analytics solutions; Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement; Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise; Communicate, engage, and present roadmaps, use cases, solutions and impact to senior management; Deliver products and solutions in a timely, proactive, and entrepreneurial manner; Institutionalize best practices, contribute to research and experimentation efforts
Requirements: Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred; 10-14+ years of relevant experience in data and analytics product & solution delivery; Traditional as well as modern statistical and machine learning techniques; Azure ML, OpenAI, Python, PyTorch, SQL, and TensorFlow; Experience working with large and complex internal, external, structured and unstructured datasets

Duties: Exagen Inc. is seeking a dynamic leader in computational biology and data analytics to helm our endeavors in diagnostic testing within the realm of autoimmune diseases. As a trailblazer in the biotech sector and bolstered by our status as a publicly traded entity, our ambition is to craft a comprehensive bio-computing infrastructure. This endeavor aims to harness the vast potential of extensive clinical datasets alongside AI, paving the way from diagnostic breakthroughs to therapeutic innovations. The role of the Senior Director of Bioinformatics & Data Analytics is pivotal, tasked with sculpting the bioinformatics blueprint essential for groundbreaking target discovery and translational science endeavors. In this capacity, you will orchestrate a team of exceptional bioinformaticians and biostatisticians, steering efforts in target identification, biomarker unveiling, and patient stratification
Requirements: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field; At least 8 years of post-graduate experience in bioinformatics or computational biology, with a proven track record in the biotechnology or pharmaceutical industry

Duties: Responsible for projects managed by our FSP partners per Amgen Global Statistical Programming (GSP) Quality Oversight Plan (QOP); Ensure that FSP programming meets quality, compliance, timeline, and productivity expectations; Align FSP assignments with Amgen Development priorities; Responsible for FSP performance metrics development, data collection, and reporting and lead the GSP continuous improvement initiatives
Requirements: Bachelors degree or equivalent in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject; Extensive SAS programming and reporting experience including SAS Base, Macro, STAT, Graph, and SQL, among others; Detailed understanding of clinical trial processes in the biopharmaceutical industry, from data collection to analysis reporting; Ability to lead programmers in successful completion of all study programming activities and provide mentorship on technical and process related questions

Duties: Implements and develops computational analysis pipelines for spatial transcriptomics data and other new kinds of spatial data, implements and develops image analysis software for analyzing microscope images, and produces graphs and data presentations; Utilizes high-performance local and cloud-based computational resources to set up and run custom data analysis pipelines; Works closely with a team of scientists on cutting-edge cardiac biology and neuroscience research projects; Documents code and assists other scientists with analysis; Exercises judgment within defined procedures and practices to determine appropriate action; Performs other related duties as assigned by management
Requirements: B.S. degree in computer science, bioinformatics, computational biology, bioengineering, mathematics, statistics, or related discipline; 4+ years of professional experience in a scientific role in a relevant field (graduate studies included); Advanced Python coding skills

Duties: Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings
Requirements: A PhD and 3+ years post-PhD experience in bioinformatics, computational biology, and data science; Demonstrated experience in the field of computational biology, CRISPR off target genomics, cancer genomics, and/or single-cell genomics; Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) sequencing; Extensive experience performing statistical analyses of large genomic datasets and validation of genomic pipelines; Expert-level proficiency in relevant programming languages such as R and Python; Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git)

Duties: Establish dedicated analysis and informatics to support company milestones; Support internal R&D projects and Product Development; Develop, implement and troubleshoot novel analysis tools for SBS/ZMW/nanopore-based raw data and sequencing data; Support all science teams through the development of systems for streamlined data acquisition and collaborate with colleagues to create specific analysis pipelines that address team needs; Automate data analysis pipelines, maintain SOPs for multi-team use, and provide troubleshooting support as needed; Maintain a centralized, shared and organized historical records of experiments conducted, problems solved, and bugs fixed; Generate professional reports and visuals on performed data analysis, developed tools, and approaches, playing a critical role in the development of internal processes and eventual customer applications
Requirements: Ph.D. or M.S. in Bioinformatics, Statistics, Computer Science, Computational Neuroscience or a related field; For Senior Scientist: Ph.D with 4+ years of industry experience; or M.S. with 6+ years of post-graduate experience; For Staff Scientist: Ph.D with 8+ years of industry experience; or M.S. with 12+ years of post-graduate experience; Experience applying signal processing and signal filtering techniques to 1D/2D time-varying data. Eg. Image classification, Audio Signal Processing, digital signal from electronics etc. (Preferred experience with raw imaging data from SBS-style DNA sequencing or raw electrical signal from nanopore sequencers)

Duties: The primary purpose of the Associate Data Scientist is to leverage the capabilities of next-generation sequencing data to drive forward the discovery and development of novel therapeutics for cancer patients. This crucial role is centered on analyzing and interpreting intricate genetic information at the single-cell level to identify unique biomarkers and understand tumor heterogeneity. By crafting advanced computational tools and algorithms, the Associate Data Scientist will play a crucial part in accelerating scientific discoveries and contributing to the development of new therapies and diagnostics that can transform patient care and health outcomes
Requirements: Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Demonstrated experience and understanding of genomic technologies and analysis of data generated; Analyzing and interpreting outputs to identify insights and hypotheses from data; Understanding of essential statistical methodologies required for bioinformatics analyses

Duties: Lead programmer for one or more clinical validation studies supporting in vitro diagnostic submissions (e.g., IVDR, 510(k), CTA/CDx/PMA, etc.) including dataset and TFL generation; Perform programming validation and maintain documentation as needed; Lead development of programming infrastructure, including R package development and; Contribute to development of junior team members
Requirements: Bachelor’s in statistics, mathematics, computer science, or related field; 5+ years related experience with at least 3 years experience in Clinical Trial analysis; At least 3 years R programming experience, including package development

Duties: Sie interessieren sich für Konsumentenverhalten, Digitalisierung, Künstliche Intelligenz, neue Technologien allgemein und wissenschaftliches Arbeiten? Sie wollen an hochaktuellen und -relevanten Themen im Zusammenspiel zwischen Marketingtheorie und -praxis arbeiten und dabei selber neues Wissen generieren? Dann sind Sie bei uns richtig! Wir sind ein junger und hochmotivierter Lehrstuhl (Prof. Dr. Reto Hofstetter) mit ambitionierten Forschungsprojekten in Kooperation mit internationalen Top-Universitäten (z.B. Columbia, Michigan, Wharton oder Stanford University) und Unternehmen. Inhaltlich liegt unser Schwerpunkt im Bereich Digitales Marketing und Konsumentenverhalten
Requirements: Ein überdurchschnittlich abgeschlossenes Studium in Betriebswirtschaftslehre, Psychologie oder Data Science oder angrenzenden Bereichen (bevorzugt universitärer Abschluss); Interesse an wissenschaftlichen Fragestellungen im Bereich Konsumentenverhalten; Hohe Eigeninitiative und Zielorientierung; Sehr gute Englischkenntnisse in Wort und Schrift; Motivation am Erlernen neuer Methoden und statistischer Verfahren (Programme wie R, Stata, Python, etc.-sollten keine Fremdworte für Sie sein)

Duties: You will be part of a recently funded scientific project from the Swiss National Science Foundation (SNSF) in the field of consumer online reviews. Your key task is to conduct empirical research related to the field of this project; Other tasks include general scientific and administrative activities related to your position at the University of Lucerne
Requirements: An above-average degree in marketing, economics, machine learning, or data science; Excellent data analysis skills (econometrics and/or text and image classification skills); Strong interest and passion for scientific questions related to marketing and marketing analytics; A high level of personal initiative and goal orientation; Excellent command of written and spoken English (speaking German is a plus, but not a strong requirement); A strong attention to detail and high-quality focus

Duties: You will be part of a recently funded scientific project from the Swiss National Science Foundation (SNSF) in the field of consumer online reviews. Your key task is to conduct empirical research related to the field of this project; Other tasks include general scientific and administrative activities related to your position at the University of Lucerne
Requirements: An above-average degree in machine learning, or data science; Excellent data analysis skills (deep learning, in particular text and image classification skills); Strong interest and passion for scientific questions related to marketing and marketing analytics; A high level of personal initiative and goal orientation; Excellent command of written and spoken English (speaking German is a plus, but not a strong requirement); A strong attention to detail and high-quality focus

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German

Workload: 80-100%
Duties: Betreuung, Optimierung und Weiterentwicklung von Geschäftsprozessen im SAP HCM-Umfeld für verschiedene Gesundheitsinstitutionen zusammen mit Ihren Kolleginnen und Kollegen aus den anderen SAP-Teams; Durchführen von Customizing und Erstellen von Spezifikationen für Entwicklungen im S/4HANA; Unterstützen der Keyuser durch Schulungen und allgemeinen Support; Management von externen Implementierungspartnern (Koordination, Auftragserteilung, Kontrolle); Umsetzen von Projekten im HCM-Umfeld zusammen mit dem Fachbereich
Requirements: Abgeschlossene Wirtschaftsinformatik- und/oder betriebswirtschaftliche Ausbildung; Mehrjährige fachliche, prozessuale und Customizing-Erfahrung im SAP HCM; Sehr gute analytische und konzeptionelle Fähigkeiten; Hohe Kundenorientierung, exakte und selbstständige Arbeitsweise

Workload: 50%
Duties: Version 1, Technical internship: You will write software to test a new smart event-based camera that we have recently built; You will implement and test neural-network architectures for object detection and tracking or for 3D vision using this camera; You will document the software and write a report about your work; This work can be formulated as a BSc or MSc thesis and might lead to scientific publications or dem OR; OR; Version 2, User study internship: You will help to develop questionnaires and use case scenarios (story boards) to find out the requirements, needs, and challenges for robotic assistants in healthcare; You will help determine the relevant stakeholders and fine-tune the interview questions to different groups; You will conduct the interviews online or face to face; You will analyze the results of the interviews and help formulate a hierarchy of use cases, their requirements and constraints and write a report about the study; This work may lead to a publication and c...
Requirements: BSc or MSc in Computer Science, Electrical Engineering, Mechanical Engineering or similar; Good programming skills (python, C++); Experience with Machine Learning and/or Computer Vision and/or Robotics; Option 2: BSc or MSc in Social Sciences, Humanities, or Life Sciences

Duties: The candidate will work in the Centre for systems and information technologies and applied mathematics in an interdisciplinary research group that operates at the intersection of computer science, information science, mathematics, system theory and automatic control systems. The group develops new approaches to modelling and applies them to a variety of fields, from biomedicine to education and industry. It also develops methods for intelligent data analysis and knowledge discovery
Requirements: a doctorate in computer science; research experience and internationally recognized publications; a good command of English