Duties: Development of superconducting quantum computing systems
Requirements: Candidates should possess or is expected to obtain a doctoral degree by the starting date

Duties: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Requirements: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems; Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation
Requirements: Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience; Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data; Experience working within a UNIX/Linux environment; Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL; Excellent communication and team skills and fluency in both spoken and written English

Duties: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation; Analyze data processes in documentation
Requirements: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering; Experience as a research assistant or similar; Experience (including any graduate school) developing tools for data analysis; Proficiency in python and/or R programming languages; Experience with cloud computing environments

Duties: Apply state-of-the-art machine learning software solutions for various artificial intelligent system applications; Interact with team members to discuss technical solutions to problems; Develop tools and techniques to improve our team's research and development capability; Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems
Requirements: Requires a Bachelors, Masters or a PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field; Training in perception (computer vision/image processing, LIDAR and/or radar) software solutions for various intelligent system applications; C++, python, and ROS experience required

Duties: Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary; Data Analysis: Performs routine analysis for which established tools exist and are considered reliable; Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary; Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically; Manuscript Preparation: Independently edits and drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures; Grant Preparation: Helps to formulate specific aims, explains options for experimental design,...
Requirements: Bachelor's degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences; Experience with principles of experimental design and the modern data analysis paradigms is required

Department: Department of Biomedical Informatics
Duties: The Emory University Department of Biomedical Informatics is recruiting for a post doctorate in the area of computer vision, image processing, machine learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases
Requirements: doctoral degree or equivalent in an appropriate field

Duties: Preparation methods for the preparation of nanostructured materials and knowledge of spectroscopic techniques to optimize the efficiency of absorbing and converting visible radiation
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: We are seeking to appoint a Research Associate (Level B) in Ocean Modelling in the Institute for Marine and Antarctic Studies, which is part of College of Sciences and Engineering at the University of Tasmania. This initial fixed term contract will be for three years with funding available for an extension up to the seven year life of the Centre
Requirements: A PhD or equivalent in fluid dynamics, physical oceanography, atmospheric science, applied mathematics or an equivalent field; Demonstrable knowledge of ocean processes and/or air-sea coupling; Demonstrable knowledge of developing/configuring/running ocean and/or coupled climate models

Duties: Research in the subject area of the announcement, including the development of deep neural networks for the analysis of medical data within ongoing research projects. Teaching at the undergraduate, advanced, and doctoral levels (up to 20% of full-time). Supervision doctoral students and master thesis work. Assisting in seeking external research funding. Collaboration with industry and society within ongoing research projects. Administrative tasks related to the above responsibilities are included. Opportunities for participation in higher education pedagogical competence development will be provided
Requirements: You have a doctoral degree in mathematics; You have excellent proficiency in English, both spoken and written; You have extensive experience in research involving the application of machine learning methods and deep neural networks to medical image data; You have documented experience in collaboration with physicians or other researchers in medicine or with clinical staff; Experience in supervising thesis projects and doctoral students; You have significant experience with development environments for deep neural networks such as TensorFlow, Keras, PyTorch, or similar

Duties: The School embodies a broad range of research interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo Methods, Biomathematics, Biostatistics and Ecology, Combinatorics, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Finance and Risk Analysis, Fractional Calculus, Functional and Harmonic Analysis, Geometry and Mathematical Physics, Nonparametric Statistics, Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, and Stochastic Modelling
Requirements: A PhD in a related discipline, and/or relevant work experience; Proven commitment to proactively keeping up to date with discipline knowledge and developments; Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision

Duties: Research in the field of the third-cycle studies (PhD studies) in mathematics/applied mathematics, institutional duties, which may include: teaching at undergraduate and advanced level in mathematics/applied mathematics, which may involve teaching at the university's two campus locations, Västerås and Eskilstuna, as well as distance teaching. Supervision and co-supervision at undergraduate and advanced level may also be relevant for the position; administration (e.g. course responsibility or program coordination) and development
Requirements: A degree at an advanced level

Duties: The numerical simulation and visualization of volume deformations constitute an active research domain, characterized by numerous open challenges and opportunities. From materials science to engineering applications such as fluid dynamics and medical imaging, the simulation and visualization of volume deformations are essential. The research group Simulations at UiT is offering a PhD position aimed at delving into these complexities. The PhD project consists of the following key aspects. First, it involves investigating volume representation methods, particularly in materials science. This exploration extends to diverse applications, including the simulation and analysis of composite materials and the dynamics of crack propagation
Requirements: This position requires a master’s degree or equivalent in applied computer science or engineering design, with a completed master’s thesis on a relevant topic and any other requirements. If you are near completion of your master’s degree, you may still apply. In addition, knowledge and experience in the following fields are desirable: Algorithms and programming; Computational geometry; Image registration; Digital volume correlation; Material science CAD/CAM software; Artificial intelligence and machine learning methods

Duties: The main aim of the project the post-holder will join is to develop, improve and apply models for improving situational awareness and informing data collection in outbreaks via data analysis and forecasting. Including systematic assessment of the predictive ability of any forecasts made, and whether the inclusion of individual, spatial, behavioural or genetic data can improve them. There is considerable freedom for work within the aims of the project and scope for the development and use of state-of-the-art methodology and computation with direct impact on public health
Requirements: The successful applicant will have a postgraduate degree, ideally a doctoral degree in a quantitative discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language for mathematical or statistical modelling, including some experience with R, and be committed to open research and/or software development. Experience in outbreak analysis or model-based forecasting is an advantage

Department: Chemistry; Organic Chemistry
Duties: Monitoring enzymatic reactions and biological processes by time-resolved nuclear magnetic resonance
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Department: Engineering; Aerospace Engineering
Duties: In the framework of the research activities for space surveillance and space debris observation and cataloguing, it is of key importance to comprehend and simulate in-orbit fragmentation events. Observation data need to be integrated, in particular for sub-cm size classes, by fragmentation models capable to represent the complexity of such events. The research activity will focus on the implementation and optimization of codes for numerical simulations and on their validation with observation and/or experimental data. The research fellow will be in support to the experimental activities related to fragmentation studies; ing-ind/05 - impianti e sistemi aerospaziali
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: The position is focused on research, but the candidate should also be prepared for general laboratory responsibilities, teaching, supervision, and outreach tasks. The main responsibilities of the chosen candidates will be to: (1) design, test and optimize new skin adhesive; (2) develop new design principles for water absorbing skin adhesives; (3) maintain and support experimental equipment related to adhesion and skin technologies; (4) support inclusion of these scientific topics in two bachelor courses; (5) supervise bachelor and master project students; (6) initiate new collaborations with relevant partners outside the university
Requirements: Candidates should have (or being close to achieving) a PhD degree in physical chemistry, polymer science or similar, and with a strong background in experimental research; A strong interest in interdisciplinary research; A desire to work across different laboratories and with different partners; A strong collaborative mind-set; A desire to interact with chemistry students at different levels

Duties: Nanofabrication of photonic cavities using our state-of-the-art cleanroom facilities at DTU Nanolab; Characterization of nanocavities using optical and electrical methods; In-situ characterization of tunable nanocavities using scanning electron microscopy; Modelling of light-matter interaction using analytical and numerical methods
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Our research relies heavily on theory/numerical design, nanofabrication, and optical experiments and we expect the successful applicants to master at least one of these aspects but we welcome applications from students who have demonstrated excellent academic performance in adjacent fields. All projects in the group are strongly collaborative, and strong interpersonal skills are important

Duties: The main responsibilities of the chosen candidates will be to: (1) Select, test and optimize new bio-inspired adhesive formulations for (wet) tissue adhesion; (2) develop new lab-based test methods for wet adhesion performance; (3) perform lab-based tissue-adhesion tests; (4) establish collaborations with relevant partners for in-vivo studies; (5) contribute to applications for additional proof-of-concept and startup funding; (6) take part in planning for potential commercialization
Requirements: Candidates should have (or being close to achieve) a PhD degree in physical chemistry, polymer science or similar, and with a strong background in experimental research; A strong interest in interdisciplinary research; A desire to work across different laboratory and with different partners; A strong collaborative mind-set; A dream of bringing research from the lab to the market

Duties: Optimization of the nanofabrication process of thin-film lithium niobate photonics platform, which is one of the key platforms for future quantum photonics computing technologies. The goal of the job is to obtain the ultra-low loss and high-speed thin film lithium niobate photonics platform, and to fabricate the quantum photonic devices designed by the team members based on the optimized nanofabrication process
Requirements: Having good communication skills in English, both written and spoken; Highly experienced in the nanofabrication process optimization of thin-film lithium niobate platforms; Highly experienced in nanofabrication of thin-film lithium niobate photonic devices; Highly experienced in ebeam lithography, thin film deposition, ICP etching process engineering and morphological characterizations; Good team-working spirit

Duties: As a comprehensive university offering a wide range of high-quality educational opportunities, the University of Basel attracts students from Switzerland and the entire world, offering them outstanding studying conditions as they work towards their bachelor’s, master’s or PhD degrees. Today, the University of Basel has around 13000 students from over a hundred nations, including 3000 PhD students. The University of Basel has seven faculties covering a wide spectrum of academic disciplines. In international rankings, the University of Basel is regularly placed among the 100 top universities in the world thanks to its research achievements
Requirements: We crawl all higher jobs in research, teaching and administration at Universität Basel 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"

Department: IWU - Werkzeugmaschinen und Umformtechnik
Duties: Unterstützung in der System- und Prototypenentwicklung, -konstruktion, -umsetzung und; validierung; Eigenständige Planung und Durchführung von Versuchen und deren anschliessende Auswertung; Ermittlung von Werkstoff- und Bauteilkennwerten
Requirements: Studium Maschinenbau, Mechatronik, Werkstoffwissenschaft, o.ä; Selbstständiges und zielstrebiges wissenschaftliches und praktisches Arbeiten; Handwerkliches Geschick und Experimentierfreude; Konstruktionserfahrung wünschenswert; Kenntnisse im Umgang mit Materialprüfmaschinen und der experimentellen Versuchsdurchführung und; auswertung

Duties: Analyse antibody sequences (liability screening, clustering, etc.) from Sanger and Next Generation sequencing platforms; Develop and implement computational pipelines and algorithms for analysing antibody sequences; Organize data storage in accessible formats for other team members; Prepare data summaries, overviews, and visualizations; Participation on in silico design of humanized antibodies; Integration of Electronic Lab Notebook system in the laboratory
Requirements: Master's or Ph.D. degree in Bioinformatics, Computational Biology, or a related field; Strong background in protein bioinformatics with a focus on sequence analysis; Knowledge of next-generation sequencing (NGS) data analysis and genomics databases; Proficiency in programming languages commonly used in bioinformatics such as Python or R; Familiarity with statistical methods and machine learning techniques applied to biological sequence data

Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Duties: Provide strategic direction for prenatal bioinformatics efforts, aligning strategies with company goals and collaborating with cross-functional teams; Lead the Bioinformatics team, fostering innovation, collaboration, and growth. Guide project priorities, resources, and career development; Develop and execute bioinformatics strategies to enhance next-generation sequencing pipelines for the Unity product line, driving innovation
Requirements: PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field; Demonstrated ability to manage and lead a team of bioinformaticians; Excellent project management skills and attention to detail; Excellent communication and ability to work collaboratively with a cross-functional team; 10+ years of bioinformatics experience (including PhD years or afterward)