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via train lines and busses. It is known for its vibrant life, cultural events, historical architecture and beautiful nature. The University seeks to raise the number of women in research and teaching
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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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intelligently to make learning more sustainable and efficient, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer architectures. We invite
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
(perfusion imaging) and response to radiotherapy assessment. These models will explore recent diffusion and auto-regressive generative architectures. They will leverage Mixture of Experts, Chain of Thought and
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surrogates of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals
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• Ideal candidates have Theoretical understanding of episodic and/or semantic memory function Experience in fMRI research Working knowledge of DNN, RNN, or transformer architectures This is a full time
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through phase separation. Their material properties—fluidity, elasticity, and internal architecture—can shift dramatically in response to subtle biochemical cues. Our recent findings show that MEC-2
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, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster
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provide quality assurance for research and software development tasks Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring
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device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. Exploring hardware-level security mechanisms based