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dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent). Excellent proficiency in English, both spoken and written. Assessment
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in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
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/Electrical Engineering, or a related discipline. Experience with programming languages (preferably Python, C/C++). Strong analytical and problem-solving skills; motivated to conduct high-quality research with
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technology, quantum optics, photon detection and characterization, data analysis/processing Scientific publications relevant to the position description Computational skills (Python, Matlab, Mathematica
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, Matlab, Python or R) Demonstrated a high level of expertise in analysis of large and complex datasets Detail-oriented and excellent communication skills Excellent command of written and spoken English
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or soon to be finished Background in protein design, computational biology or related field Working knowledge in at least one relevant coding language (Python, R, or C++) Excellent communication skills and
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computing paradigms (e.g., MPI, CUDA, etc.); designing and managing new electromagnetic solvers and associated codebases in C++ and/or Python. This is a particularly good opportunity for students who
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constitutive models in Matlab or Python. Position 2 – Ply/ply and tool/ply friction during hot press forming Excessive friction between the plies in a laminate or between the outer plies and the tool surfaces
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measure leg-generated forces. Investigate relationships between neural activity, muscle properties, and joint movement. Code in MATLAB or Python for data analysis, modeling, and tracking tasks. Assist with
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ideally includes past or present projects centered on machine learning analysis of chemical or biochemical data, especially relating to structural biology. Ample experience with Python programming is