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, preferably in Python, R, MATLAB, Julia, or a comparable language Ability to critically evaluate model assumptions and integrate evidence from different types of data Strong interest in evolutionary processes
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analysis and programming (e.g. Python) Proven track record of successful publications Very good oral and written English skills Team player Additional Information Benefits We offer Our institution is based
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; or Windows: batch/powershell) or in programming languages and tools (e.g. Python, git). Knowledge of ITIL or similar industry best practices (incident / change management). Your Profile: Bachelors in
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, debugging issues in our R and Python scripts, creating pull requests, writing documentation, and collaboratively developing new features You will also analyse our data on online comments searching
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Knowledge of mammalian cell culture systems and 3D cell cultures (organoids) Expertise in software such as R, KNIME or Python An independent, reliable and goal-oriented work style You are not afraid to take
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(MILP) A strong track record of relevant publications Excellent English skills Ideally, the candidate also: Has worked with CCUS and industrial processes Has programming experience in Python and Pyomo Our
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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework Excellent communication skills in spoken and written English; Self
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motivated to conduct laboratory work and have prior experience working in a chemical laboratory environment You are eager to use advanced data analysis tools (e.g. Python programming) Familiarity with
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description Unity frontend development for Digital Einstein: building AR experiences and maintaining the physical platform; components are designed for reuse across all deployment contexts Python backend