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expertise in utilizing data acquisition instruments and transducers such as NI modules, Siemens Scadas, modal shaker, accelerometers, etc. Proficient programming skills in Matlab/Python/LabVIEW, with an added
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, (Quantitative) Psychology, Data Science or related fields. Is skilled in working with time series, panel and/or unstructured data. Has demonstrable experience in R, Python, or a related programming language. Has
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Computer Science, Artificial Intelligence, Machine Learning, or a related field; Strong background in image processing, computer vision, and deep learning; Excellent programming skills (Python preferred), with
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qualities You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's thesis on a topic
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imaging and artificial intelligence. You are familiar with programming (e.g., Python, Matlab). You have good scientific writing and presentation skills in English. You have a research-oriented attitude. You
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-to-advance-climat… Requirements Specific Requirements you enjoy using models to generate knowledge as DYNAMO is written in Python, your experience with Python is a Pré you feel connected to themes like climate
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Python. Familiarity with deep learning libraries (PyTorch, TensorFlow, etc.) is advantageous. Outstanding communication and collaboration skills, enabling effective teamwork. Additional Information
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have experience with programming in MATLAB, Python or a similar environment. You have strong analytical skills and the ability to work both independently and as part of a team. You have excellent
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discipline; strong programming skills (Fortran, Python or similar); affinity with numerical model development; good reporting and presentation skills; an excellent level of written and spoken English; the