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. Working with international academic and industrial partners, you will translate experimental data into transparent models, decision-relevant indicators, and semi-automated Python tools. Your primary tasks
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interpret nanoparticle restructuring, vibrations, and surface dynamics Develop and apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between 3D
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metabolic engineering principles and microbial genetics Strong analytical and programming skills (e.g. Python or R) for multi-omics data integration A collaborative mindset, creativity, and excellent
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theoretical chemistry is also welcome. Be proficient in scientific programming (Python or Fortran) and comfortable working with scientific software Demonstrate strong communication skills (in English
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. Experience in programming, ideally using Python. Structured work attitude and ability to plan and carry out sophisticated research activities. Excellent communication skills in English, both written and
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Programming skills in R or Python Strong language skills (English) Strong interpersonal skills Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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quantum optics and nanophotonics modelling based on quasinormal modes. Solid skills in scientific programming and numerical modeling with tools such as Python, MATLAB, COMSOL, Lumerical, or similar. A
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programming skills in Python and/or C++ Have experience with robotic software frameworks and simulation environments Demonstrate the ability to conduct independent research and publish scientific results Have
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aeroacoustics Solid experience within numerical methods and CFD Experience with low fidelity modeling of aeroacoustics Experience in analyzing acoustic measurements Proficient in Python and the various