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, such as physics-informed neural networks (PINNs), and apply them to regenerative processes. Collaborative by nature – You enjoy working across disciplines and feel at ease in an international
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networks overlap and differ across species, providing insights into the evolutionary origins of brain function and the neural basis of cognitive functions such as language, working memory, and theory-of-mind
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neural networks on synchronised video, audio, and text data to automatically detect how gestures or gaze contribute to meaning in conversations.- Bridging cognitive science and AI to model how humans
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Quantitative MRI is a PICNIK with Physics-Informed data Consistent Neural Implicit K-space
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. This simple unit is limiting the learning capabilities of recurrent neural network models in tasks characterized by multi-timescale and long-range temporal dependencies. To implement multi-scale adaptation, in
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in aging and cognitive neuroscience. Dr. Muhammet Ikbal Sahan studies the interaction between spatial cognition and working memory, focusing on neural mechanisms underlying memory search. Prof. Dr
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transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures such as neural operators and transformers. The expected start
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such as neural operators and transformers. The expected start date is February 2026, and the PhD duration contract is 4 years. Please contact Dr. Bernat Font (b.font@tudelft.nl ) for more information. Job
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shifts in cell state and cell fate. Integrate spatial transcriptomics data to anchor these predictions in tissue context. Develop machine learning methods (e.g. graph neural networks, variational
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-tracking and behavioural measurements. As a PhD Candidate, you will be part of an international network of 13 research labs located throughout Europe working on the EU-funded HUM.AI.N-ACCENT project