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Temporary contract 75% part time position | 36 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a leading
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, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical, problem solver, and programming skills for Python and Matlab are preferred Experience
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programming in Matlab and/or Python. You are hands-on in lab work and skilled in experimental design. You bring creativity, an assertive attitude, and perseverance. TU Delft Delft University of Technology is
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. Strong quantitative skills (e.g., econometrics, optimization, I/O table, CGE, simulation modeling) and solid programming experience (e.g., Python/R/Matlab/C). Preferred (optional): familiarity with machine
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optimal control theory. Proficiency in programming languages (Python, MATLAB) and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in data-driven modeling, deep learning, and
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experience in Matlab and/or R considered an asset. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience in the organisation of field campaigns Solid publication
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into potential stakeholders, contact lists and social media. contribute to the design of the upwelling academy programme could contribute to delivery and coordination of some of the above-mentioned training and
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tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate and
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with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in
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society Administration related to the work duties listed above Requirements: PhD degree in in Chemistry, Chemical Engineering, Materials Science, Metallurgical Engineering or equivalent/another relevant