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peptide catalysts for powerful C-C-bond forming reactions. (2) Prof. Francesca Grisoni ( https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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Vrije Universiteit Amsterdam (VU) | Amsterdam, Provincie Noord-Holland | Netherlands | about 1 month ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PostDoc who will do research on the intersection of machine learning (ML
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Mapping Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in
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develop a new theoretical framework for learning in physical systems with time-dependent dynamics. Unlike conventional machine learning algorithms, these systems learn through local interactions and
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reactions. (2) Prof. Francesca Grisoni ( https://molecularmachinelearning.com/ ) leads the Molecular Machine Learning Group at the Technical University Eindhoven and will lead a project on designing
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with machine learning models for classification or decoding of neural data - programming skills, especially Python Additional Information Benefits What can you expect from us? 232 vacation hours per
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the intersection of control theory and scientific machine learning? Join us in
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machine learning and data science professional who wants to make a real-world impact? Do you have a specialisation in machine learning and affinity with project management? Do you want to apply
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excellent Post-doc researcher (1.0 FTE) with a background in Computer Science (or a closely related field) to join a project focused on developing an advanced machine learning framework for spatio-temporal