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University. At OnePlanet, you will work within the Domain AI team, which houses expertise in advanced data analysis techniques, merging the power and flexibility of machine learning and AI with the rigor and
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. Knowledge of data analysis, optimization, and machine learning techniques is a plus. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP) and software (e.g
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, which houses expertise in advanced data analysis techniques, merging the power and flexibility of machine learning and AI with the rigor and explainability of domain knowledge. Members of OnePlanet’s gas
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. You have excellent computer science skills (python, git, linux, ROS, etc.) . You have hands-on experience with machine learning frameworks such as PyTorch. You have strong analytical skills to interpret
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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-level modelling of environmental exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a
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of inverse photonic design, machine-learning (adjoint or topology optimization), or other advancing design methodologies. Ability to design and model active photonic devices (MEMS, electro-optic or thermo
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video recordings, and editing Working out strategies to scale up on-line computer labs, examinations, … Interaction with partner organizations for possible synergies (e.g. IMEC, Photondelta) In addition
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, and editing Working out strategies to scale up on-line computer labs, examinations, … Interaction with partner organizations for possible synergies (e.g. IMEC, Photondelta) In addition, your work would