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at least one scripting/programming language (Python preferred) - Familiarity with version control (Git/GitHub) - Strong written communication skills, with demonstrated ability to document technical
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, and skills in C, Java or Python/SageMath are a plus. Good writing and communication skills are requested, together with the ability to work independently as well as in a team. A good English level is
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sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is
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have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge of python and R programming. You will also have demonstrable experience of software development
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multi-omics, and single-cell immune repertoire analysis. You will have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge of python and R programming. You
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, the University of Lausanne, and collaborating institutions and partners worldwide. The core duties of the role include: leading the development, release, and maintenance of the project’s open-source Python
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CCM+. Experience developing scientific software using Python and/or C++. Experience with external aerodynamic simulations. Experience with mesh generation and numerical simulation workflows. Desirable
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computer science, software engineering, or a related discipline Experience building web applications (full-stack or back-end development) Proficiency in Python and familiarity with web frameworks (e.g., Flask
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extraction, or machine learning; or o Ecology, evolutionary biology, biodiversity informatics, or similar, with a focus on large-scale, quantitative research. · Strong programming skills in Python and
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STATA, R, SAS, PySpark and Python Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub Demonstrated ability