Dauer: temporary       
Pensum: 100%
Aufgaben: Public competition for the recruitment of 13 fixed term researcher position, duration 3 years, with possibility of 2-year extension, full-time appointment; Geometria e Algebra; Neurologia; Diagnostica per Immagini; Statistica Medica; Cliniche Chirurgica; Ostetrica Veterinaria; Infrastrutture; Disegno; Filosofia; Psicologia; Diritto; Sociologia
Anforderungen: Experienced researcher or 4-10 yrs (Post-Doc)

Aufgaben: Building advanced optical setups for cutting-edge experiments in quantum photonic technologies; Realizing first multi-qubit photonic devices for quantum information networks; Exploring new routes that bring Quantum Internet a step closer
Anforderungen: As a formal qualification, you must hold a PhD degree (or equivalent)

Dauer: 3 y
Aufgaben: Lead the implementation across healthcare facilities in various country regions; Collaborate with clinical staff and IT staff to understand workflow needs and ensure system customization aligns with best practices; Work closely with IT staff to configure, test, and deploy the systems; Travel to project sites as part of the project regions as needed; Regularly monitor and report on implementation progress and financial tracking to both Client, Ministry of Health onsite and the Swiss TPH team in Switzerland
Anforderungen: Master's degree in Healthcare Informatics, Information Technology, or a related field and minimum 5 years of experience in healthcare IT project management and team leadership; Proven experience in leading EMR and/or CDSS implementation projects; Strong understanding of healthcare workflows and best practices; Experience working in the South Asia healthcare systems as well as experience in working with international organizations; Fluency in English (written and spoken), additional regional languages are a plus

Pensum: 100%
Aufgaben: Work in a fast paced, manage projects in a driven environment, grasp new technology, and contribute at a rapid pace; Research, experiment, and utilise leading Big Data, Machine Learning platforms and other emerging technologies to add business value; Technically and professionally, you will manage and support investigation teams in the organization of special forensic investigations; Contribute your knowledge actively to the design and implementation of data analyses for the detection and prevention of white-collar crime; Utilise technical and industry knowledge to identify complex client issues and build long-term business relationships with key executives through engagement delivery and networking in professional organisations
Anforderungen: You have a Bachelor's or Master's Degree in Data Science, economics, finance or a comparable course of study; You bring along a minimum of 8 years consulting experience; You are fluent in English; German and French are considered an asset; You are experienced in the field of Forensic, Forensic Technologies, Forensic Data Analytics, eDiscovery, Incident Response, etc; Extensive experience in data analytics with any of the following software: IBM SPSS, Alteryx, Rapidminer, Python; Design and develop analytics solutions for analyzing vast datasets (Hadoop, Hive, Spark), developing models, forensic analytics tests and deploying dynamic dashboards (Tableau, PowerBi); ACA/ACCA qualified (or equivalent), or relevant work experience; Knowledge of extraction and analysis of data from ERP systems such as SAP and Oracle Financials; Statistical, predictive modelling techniques and unsupervised pattern detection (regression, clustering, decision trees, neural networks, etc); Working knowledge and ...

Pensum: 80-100%
Aufgaben: Weiterentwicklung des Instrumentariums für datenbasierte und teilautomatisierte Aufsicht; Datenanalyse und Visualisierung mit Fokus auf quantitative Analysen; Mitarbeit bei der Weiterentwicklung der Tools für die simulationsbasierten Solvenzberechnungen; Mitarbeit bei der Betreuung von Versicherungsunternehmen bezüglich SST-Aspekten. Beantwortung von SST-Anfragen; Mitarbeit bei der stetigen Weiterentwicklung und Pflege der Standardmodelle und dazu passender Aufsichtstools (inklusive IT-Implementierungen) in der Versicherungsaufsicht
Anforderungen: Hochschulabschluss im quantitativen Bereich (Mathematik, Statistik, Data Science, Informatik, Physik); Sehr gute Kenntnisse der Programmiersprachen wie R, Python, ggf. Matlab sowie sehr gute IT-Umsetzungskompetenzen; Erste Berufserfahrung im quantitativen Risikomanagement (Praktikum, Doktorat/Postdoktorat); Erfahrung in der Datenverarbeitung/-analyse sowie in der Aufbereitung und Berichterstattung von Ergebnissen von Vorteil; Erfahrungen mit dem SST sowie Kenntnisse in statistischen Verfahren wünschenswert; Vernetztes Denken sowie zuverlässige, systematische und selbständige Arbeitsweise; Ausgeprägte Eigeninitiative und Kreativität sowie Freude an der Zusammenarbeit im Team; Sehr gute Deutsch- oder Französischkenntnisse (C2) und gute Kenntnisse der jeweils anderen Sprache (B2) sowie gute Englischkenntnisse (B2)

Aufgaben: AEE - Institute for Sustainable Technologies (AEE INTEC) was founded in 1988 and is today one of the leading European institutes of applied research in renewable energy and resource efficiency. In the three target group areas "Buildings", "Cities & Grids" and "Industrial Systems" as well as three technological working groups "Renewable Energies", "Thermal Storage" and "Water and Process Technologies", the R&D projects carried out range from basic research projects to the implementation of demonstration plants
Anforderungen: We crawl all higher jobs in research, teaching and administration at AEE INTEC automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Aufgaben: Das Universitäts-Kinderspital beider Basel (UKBB) ist ein eigenständiges, universitäres Kompetenzzentrum für Kinder- und Jugendmedizin sowie für Lehre und Forschung. Als eines der drei selbständigen Kinderspitäler der Schweiz spielt das UKBB eine zentrale Rolle bei der Sicherstellung der kantonalen, regionalen und überregionalen kinder- und jugendmedizinischen Gesundheitsversorgung
Anforderungen: We crawl all higher jobs in research, teaching and administration at UKBB automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Aufgaben: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Anforderungen: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Aufgaben: Lead and individually contribute to data science and machine learning R&D projects; Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems; Interview candidates for open positions on our team; Lead and contribute to projects from early-stage research through development, in consultation with stakeholders; Provide technology leadership to yield innovative differentiating solutions; Implement and optimize state-of-the-art algorithms in distributed environments
Anforderungen: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problems; Proven ability to lead development projects from conception through deployment; Proven ability to lead and conduct research projects; 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms

Aufgaben: The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes in a military medical research setting. While the primary task for the Bioinformatics Engineer is to assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing
Anforderungen: Candidates must have completed a Bachelor’s or Master’s degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area; Candidates must have at least 2-4 years of hands-on experience in Bioinformatics; Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio; Maintain a familiarity with next generation sequencing and microarrays

Aufgaben: Develop and implement machine learning algorithms to solve business problems; Design and implement scalable data processing and machine learning pipelines; Collaborate with product, engineering, and data teams to identify machine learning opportunities; Evaluate and improve the performance of machine learning models; Stay up-to-date with the latest developments in machine learning research and apply them to real-world problems; Write clean, scalable, and maintainable code; Communicate technical concepts and ideas to both technical and non-technical stakeholders
Anforderungen: PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science; 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus

Aufgaben: Leading and managing team of internal and external biostatistics and statistical programming resources supporting studies and programs for identified therapeutic area(s) or phase(s) of development.Managing assignments and priorities of team members; Ensuring accurate, statistically valid deliverables included in protocols, statistical analysis plans, study reports, manuscripts, and regulatory submission documents; Coordinating achievement of major statistical deliverables and milestones in collaboration with other functions; Leveraging standardization to maximize global data integration and interpretability; Providing statistical leadership and support for feasibility assessments, clinical development plans, complex study designs, regulatory meetings, submissions and follow up; Providing statistical leadership for preparation of marketing applications (NDA/BLA) to FDA, EMA, or other worldwide regulatory agencies
Anforderungen: A PhD in Statistics/Biostatistics and at least 7 years of relevant pharmaceutical experience or a MSc in Statistics/Biostatistics and at least 10 years of relevant pharmaceutical experience; Comprehensive knowledge of statistical methodology in design and analysis of clinical trials including Bayesian modeling and adaptive design; regulatory requirements relating to clinical development of drugs and biologics; BLA/NDA experience including eCTD submissions; Working knowledge of major statistical software programs including SAS; Knowledge of CDISC requirements for SDTM and ADaM

Aufgaben: Improve existing pipelines for content acquisition; Develop, train, and validate machine learning models to target various use cases for biological literature; Use a variety of NLP libraries and techniques for entity recognition and relationship extraction; Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance our biological content
Anforderungen: Graduate degree in bioinformatics, computer science, or related field combined with 5-8 years of experience in NLP engineering; Proficiency inJava or Python and a demonstrable ability to quickly learn; Solid understanding of the deep learning ecosystem; Experience with machine learning algorithms and frameworks such as PyTorch or Tensorflow; Experience with word embeddings and language models such as Word2Vec or BERT

Aufgaben: für Studierende und Absolventen, Erfahrene; alle Disziplinen
Anforderungen: kann auch für Stellengesuche verwendet werden

Aufgaben: The Swiss National Science Foundation (SNSF) funds excellent research at universities and other institutions; from chemistry to medicine to sociology. Thousands of teams are generating knowledge for a better future for all. Together with our partners, we play a key role in shaping research in Switzerland
Anforderungen: We crawl all higher jobs in research, teaching and administration at SNF automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: Work as a statistician on clinical trials; producing and validating complex outputs to excellent quality whilst adhering to deliverable timelines. Producing and reviewing Statistical Analysis Plans (SAPs), protocols and other pertinent study documentation. Acting as lead statistician within a reporting team environment, being responsible for statistical aspects of reporting out study results. Working as a global lead statistician across multiple studies, overseeing more junior leads and supporting regulatory interactions. Preparing randomisation schedules and acting as the unblinded statistician on reporting teams. Acting as a statistical consultant to pharmaceutical or biotech companies. Excellent team work ethos, and willingness to help others. Potential to have line management responsibilities
Anforderungen: PhD or MSc in Biostatistics or related discipline; Experience within the pharmaceutical industry to have a good awareness of clinical trial issues, design, and implementation. Familiarity with GCP and regulatory requirements

Aufgaben: Individually contribute to data science and machine learning R&D projects; Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems; Contribute to projects from early-stage research through development; Implement and optimize state-of-the-art algorithms in distributed environments; Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets; Participate fully in our collaborative approach to research and applications projects
Anforderungen: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; Proven ability to conduct research projects; Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms

Aufgaben: Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports data and insights with high accuracy and low latency; Build, test, deploy and maintain production systems; Maintain and promote best practices for software development, including deployment process, documentation, and coding standards; Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company
Anforderungen: BSc or MSc or equivalent experience with a strong software engineering component; Experience with deep learning and some of the languages and technologies in our stack; Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback

Aufgaben: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Anforderungen: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Aufgaben: Develop long term strategy for scaling the routing and delivery optimization systems; Lead the team in model and algorithm development by taking business requirements and complex problem statements, and clearly defining data science/statistical projects; Develop and operationalize machine learning and science-based tools/models iteratively to support growing business use cases and complexity; Develop and deliver on key performance indicators for financial impact, customer impact, labor impact, and more
Anforderungen: 8+ years in routing, optimization, machine learning, data science, and/or engineering positions in top CPG, retail, or e-commerce organizations; 5+ years’ experience managing people and leading a team of leaders; An advanced degree (M.S., Ph.D., or equivalent experience) in Statistics, Applied Mathematics, Engineering, Computer Science, or related field; Proven experience with bringing structured thinking in ambiguous problems spaces and delivering solutions; Experience with machine learning and advanced optimization methodologies

Aufgaben: The position entails teaching at undergraduate and graduate levels, and strong engagement with practice and the business community. Key Duties and Responsibilities: The appointed candidate will be expected to: 1. Develop and teach undergraduate and postgraduate courses in statistics; 2. Engage in innovative and technology-based approaches to learning and teaching; 3. Publish high quality research in leading internationally recognized journals; 4. Participate in the supervision of undergraduate and postgraduate research projects and/or dissertations
Anforderungen: A PhD in the field of statistical science from an internationally recognized university

Aufgaben: Teaching statistics and mathematics across the baccalaureate spectrum; Conducting scholarly activity that advances the professional and scholarly goals of the faculty member, the Department of Mathematics, the College of Science, and the University; Advising and mentoring students as they progress through their academic careers; Participating in service activities at the Department, College, and University levels
Anforderungen: A doctorate in Statistics, Statistics Education, or closely related field, earned by August 14, 2024, is required. For those with a doctorate in Statistics Education, a master's degree in Statistics, Mathematics, or closely related field is required

Aufgaben: Develop and teach undergraduate and postgraduate courses in statistics; Engage in innovative and technology-based approaches to learning and teaching; Publish high quality research in leading internationally recognized journals
Anforderungen: A PhD in the field of statistical science from an internationally recognized university

Aufgaben: Conceive, develop, and deploy robotic and automation software solutions for advanced manufacturing applications and perception-driven solutions; Design, build, debug and implement robotic and automation solutions. Spec, develop pipelines, and implement on hardware perception and perception enabled solutions for high mix environments; Develop and test advanced software solutions for manufacturing and industrial processes and technologies; Assist in preparing proposals and cost estimates. Meet with customers to promote new business and develop technical requirements
Anforderungen: Requires a Bachelors, Masters, or a PhD in Robotics, Mechanical Engineering, Electrical Engineering, Software Engineering, or Computer Science or similar (PhD requires 0 years, MS requires 1, and BS requires 2); 2 years experience: Development of electromechanical and robotic systems from concept to deployment (full spectrum of robotic solution development); Development work using C, C++ or python

Aufgaben: Perform engineering design and analysis of complex fluid flow systems in support of validation testing or other research studies for external and internal customers; Use of Creo and/or SolidWorks preferred; Conduct evaluations and reviews of system designs with a mind for safe operation of high temperature/pressure systems; Communicate with clients to arrange for conducting experiments and testing including quoting/bidding the cost to test based on their requirements; Coordinate with the team of engineers and technicians to execute all preparation, safety assessment, setup, testing, and data processing tasks needed for each project; Ensure strict adherence to test procedures and safety protocols to maintain compliance with the Quality Management System, and work with the team to document and close any non-conformances
Anforderungen: Requires a Bachelors in Mechanical Engineering or directly related engineering degree; summer internship or undergraduate research in the area of: petroleum systems, complex fluid flow systems, fluid rheology or similar field