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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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virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or advanced experimental methods is a plus) Familiarity with VR-related toolkits (e.g., Unity, Unreal
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candidate has strong analytical skills and programming experience in Matlab, Python, C/C++, or equivalent, and is able and/or eager to develop and implement signal-processing algorithms in such a programming
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already have experience working computationally and developing scientific software Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based
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with automation and reproducible infrastructure practices, including infrastructure as code, version control, configuration management, shell scripting, and Python Ability to write clear technical
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quantitative and analytical skills, incl. programming (Python, MATLAB, or similar) Experimental laboratory experience in drug formulation, nanoparticle/microbubble synthesis, colloid chemistry, or related fields
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quantitative and programming skills Strong programming skills in Python, MATLAB, R, or comparable languages are essential, together with experience writing clean, well-documented, and reproducible analysis code