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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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modeling Programming/scripting skills (e.g., Python, R) for data handling and visualization Strong interpersonal and cross-disciplinary collaboration skills What We Offer Innovative Research Framework
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Programming in Python, R, SQL, Java, or similar languages Spatial and spatiotemporal methods when relevant, including geo-visualization, spatial optimization, and spatially explicit modelling for sustainability
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is
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development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
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: Strong scientific programming skills (e.g., Python/Julia/MATLAB) and experience implementing modelling/optimisation workflows with high standards for reproducibility Research track record: Publications
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data science. You must be curious and driven with excellent interpersonal skills and writing competencies. Experience with programming languages, notably Python or R, is expected. The work will imply
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, Python and/or R, and ability to manage and structure large datasets is essential. Interest/skills in application of AI methods to clinical data is an advantage. Stipend 2: Genetic Risk Communication and
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skills, Experience in programming in Python or another language, e.g., in C++, Matlab, R, Familiarity with basic concepts of dynamical systems, Knowledge of wind turbine dynamics is a plus, Curiosity to
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and