94 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Adelphi University" PhD positions in France
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Your Job Develop a reinforcement learning (RL) controller for a liquid–liquid gravity settler, trained entirely offline in a simulated environment Use existing physics-informed neural network (PINN
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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Your Job Generating growth models of human neurodevelopment, using unsupervised and supervised learning approaches Optimising leaning models to predict clinical phenotypes and cognitive maturation
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advances the progress of research. Your tasks involve: Developing a machine learning-based model to map satellite retrievals to ground based air pollutant concentrations Conducting error assessment on the
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Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
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Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
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nanoelectronics research center IMEC ( https://www.imec-int.com/en ). The work will focus on spatially resolved electrical measurements, enabling direct correlation between structure and transport
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. Policy support is therefore essential to accelerate deployment, reduce costs through technological learning and enable the transition from first-of-a-kind (FOAK) to nth-of-a-kind (NOAK) systems. The
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efficiency Analyzing and documenting your results and deriving conclusions for the applicability of the developed approach Your Profile Excellent university degree (Bachelor) in field of Data Science
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clinical trials particularly challenging. The ENDOMIC team (https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically