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with the possibility of continuing afterwards in a potential spin-out company. We are particularly looking for candidates with: Strong Python and software engineering skills Hands-on experience using
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Implementing labeling functions for supervised learning Analyzing microstructure patterns (e.g., spread crossing opportunities) Required skills Strong programming skills (Rust and/or Python) Experience handling
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advantage Ability to implement numerical workflows in Python or Matlab Understanding of surrogate modelling or reduced order modelling (e.g. DMD, POD) is an advantage Ability to learn new methods quickly and
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engineering, or another related field Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches Excellent knowledge of programming in Python and scientific libraries used
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experience • experience with physiological data (e.g., cardiac activity), motion capture, or biosignal analysis • experience with statistical software or programming tools (e.g., Julia, MATLAB, Python, R
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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written
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skills in python Proven software engineering skills Excellent written and verbal communication skills in English and able to work collaboratively In addition, according to the system of the University
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of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including
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Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills
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or aquatic model husbandry coordination (breeding/sampling schedules) Familiarity with high-throughput workflows Basic skills in data handling (Excel/CSV hygiene; R/Python basics) and reproducible