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programming, especially in Python. You are independent, meticulous and work efficiently. This position requires good communication skills: You enjoy actively participating in meetings and have a strong ability
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated
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the simulation models using appropriate tools (e.g., AnyLogic, Simio, Siemens Plant Sim, Python, MATLAB or other relevant simulation platforms) Evaluate and validate the proposed framework and assess its impact on
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requirements Required: MSc degree (or equivalent) in Aerospace Engineering, Air Transport, Operations Research, or related field Strong analytical and modeling skills Proficiency in programming (such as Python
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communication skills and are able to work in a multidisciplinary team. You have strong programming skills (e.g., C++, Python, …). You are creative, critical, analytical, motivated and persistent. You have a good
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Background in acoustics, fluid mechanics, aeroacoustics, and numerical methods. Specific Requirements hands-on experience with computing in C/C++, Fortran, Python, or similar programming languages excellent
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field Has strong interest in methodological research in healthcare Has experience with NLP and/or language modeling techniques Has solid programming skills (e.g., Python) Is motivated to work at the
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Engineering, Physics or similar is required Knowledge of at least one programming language is expected: Python, Matlab, Fortran, C++, … Experience and/or keen interest in transport modeling of porous systems