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PhD Scholarship This project develops a novel framework for Hierarchical Imitation Learning (HIL) combined with Reinforcement Learning (RL) to enable robots to perform long-horizon, multi-step tasks
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of recommendation in one PDF document. Please send these under the subject “PhD Theory of Physical Learning” by e-mail to Prof. Dr. Karen Alim ([email protected]) latest by 10.09.2026. She will also be happy to provide
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. Company engagement is an integral part of the programme with built-in internships alongside entrepreneurship training. The PhD programme in Machine Learning Systems positions students for strong, ethically
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Offer Description We are looking for a PhD student to join our Signal Theory and Statistical Learning group at TU Darmstadt, Germany. The position is in the mathematical foundations of deep learning, with
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predicts something important? This project will uncover the neural circuits that transform visual information into dopamine signals that teach the brain about motivation, action and decision-making
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fit for it. You can access the form using the link below: PhD: 3D radiation in clouds and wildfire plumes using GPUs and machine learning – Fill out form Your prompt response will ensure that your
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researchers eager to contribute to this emerging scientific frontier. About the project The role of the PhD candidate will be to develop efficient methods for Hybrid Learning-Control Methods for Autonomous
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Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Job No.: 698995 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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5th November 2026 Languages English English English We're seeking a PhD candidate in Biotechnology to tackle antimicrobial resistance. PhD in Bioinformatics and Machine Learning for Infection and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 24 days ago
]. The student will also look into applications in tabular and time-series predictions. Assignments : The PhD project aims at developing foundation models for performing in-context learning on high-dimensional