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, modular, and reusable scientific code (primarily in Python) following modern development practices, including version control (Git), automated testing, code style/linting, and clear technical
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modulation Software development for optical modeling and numerical analysis (Python, MATLAB, or equivalent) Strong academic output relative to career stage, evidenced by high-quality publications or
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analysis, and multi-modal integration is a strong asset (e.g, connectivity analysis). A proven track-record in current flow modeling (SIMNIBS) for TMS and/or tDCS. Skilled in programming (Python, MATLAB, R
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skills are an advantage Solid R and/or Python skills, ideally paired with modern AI-assisted coding workflows (e.g., Claude Code), are a clear advantage Track record of first-author publications Excellent
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enjoy hands-on experimental work (electronics, signal processing, Python) and are not afraid of a bit of analytical theory. Experience with MEMS, lock-in detection, or FPGAs is a plus. You communicate
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and, ideally, experience in VR research, particularly on the perception of time and space in virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or
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programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent, critical use of AI-assisted tools in research and code development, we treat these as part of
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experience (Python, MATLAB, C++, or similar) Interest in developing novel biomedical technologies Strong motivation for translational neuroscience and medical innovation Experience with mechanical design
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, such as Stata, R or Python The ability to communicate your ideas clearly in written and spoken English and German An interest in developing both independent and collaborative research projects and in
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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