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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join an international MSCA network and help advance
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skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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of this interdisciplinary project is to study the neural basis of language development. The candidate will be hosted at the Maresca Lab, which is part of Imaging Physics department of TU Delft. The lab currently consists
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approaches. What we ask of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow
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(mice) to investigate this, as they allow for the controlled study and more precise assessment of the neurobiological underpinnings. Since the brain is organized as set of functional neural networks, we
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to ESA’s strategy; a wide network of relationships and collaboration with top academia, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow based generative
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Natural Language Processing, Language Models, Information Retrieval, Deep Neural Networks, Computer Science, or related discipline; Proven affinity and/or experience with LLMs; Willing to work both at