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- Knowledge of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Experience in analyzing non-verbal communication - Specialist knowledge
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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research At least one first authorship in a peer-reviewed journal Previous experience in cardiovascular basic research (advantageous but not required) Very good written and spoken English skills, as
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protein biochemistry, single particle cryo-EM or cryo-ET is an asset, curiosity and willingness to learn new methods and adjust to technological developments a must. Strong written and oral communication
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spin-off opportunities supported by programs like GO-Bio. Your tasks Drive the advancement and integration of laser diode and chip technologies in close collaboration with research teams Perform proof
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master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent