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Experience with femtosecond lasers and/or quantum optics is a plus Experience with scientific programming and data analysis (Python, MATLAB, or similar) is a plus Communication and team-working skills We
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, Cheminformatics, Computer Science, Physics, or a related discipline. Strong background in machine learning and deep learning. Strong programming skills, particularly in Python. Experience in at least one of
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Strong computational and analytical skills, including solid software engineering ability (e.g., OCaml, Rust, C/C++, Python, or other functional languages) Strong publication record (relative to your
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, Cheminformatics, Computer Science, Physics, or a related discipline. Strong background in machine learning and deep learning. Strong programming skills, particularly in Python. Experience in at least one of
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skills. Prior experience with TFLN is desirable but not mandatory. Strong simulation skills in Python, Matlab, Labview, Inventor, Illustrator, Tidy 3D, CST Microwave studio and Comsol. Analytical
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and surface science Prior experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python
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research; Experience with quantitative data analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to
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mathematics, computational neuroscience, robotics, physics or a closely related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework
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, digital or computational humanities, or a related field with a substantial computational component Hands-on experience training, fine-tuning and analysing transformer language models in Python (PyTorch
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relevant. A strong understanding of modern deep-learning architectures and training strategies, and experience designing and rigorously evaluating new machine-learning methods. • Excellent Python