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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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) and custom-made software. Advanced level in one of these programming languages: Python, C, C++ Ability to work independently, manage multiple tasks, and document technical procedures clearly Capacity
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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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documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis of high-throughput omics data is required Knowledge of cancer biology is a strong
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background in biology or (bio)medicine are welcome to apply, provided they have documented expertise in computational biology Proficiency in programming (such as Python, R, Bash) Experience with analysis
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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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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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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