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research Experience in cell culture and molecular biology Programming or data analysis skills such as R, Python, or similar Desirable skills: Interest in neurodegeneration, RNA biology, or phase separation
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Intelligence, Computational Linguistics, Data Science, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience
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degree in Physics, Chemistry, Materials Science, Computer Science, or related fields Strong background in theoretical/computational physics or chemistry Experience with machine learning, Python, and modern
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in Python. Interest in (or prior exposure to) metamaterials / architected materials (e.g., lattices, TPMS, graded microstructures) and homogenisation concepts. Basic understanding of anisotropy and
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programming skills in Python • A friendly, motivated, positive, hands-on, initiative-taking, collaborative attitude and demeanor • Fluency in English Any of the following will be a plus: • Experience developing
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
potentials • Good programming skills in Python • A friendly, motivated, positive, hands-on, initiative-taking, collaborative attitude and demeanour • Fluency in English Any of the following will be a plus
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· A PhD in an engineering discipline is mandatory. Experience and skills · Proven programming expertise in Python is necessary; knowledge of other programming languages are additional assets
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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Analysis (ICA), Variational Autoencoders (VAEs), and matrix factorization techniques); · Experience with programming in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn