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of additional datasets (RNA-seq, ChIP-seq, ATAC-seq, protein interactome, etc.) to investigate the impact of lamin mutations on spatial genome organization in lipodystrophy patient-derived cells. You will be
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data for inorganic materials, particularly oxides. Existing LLMs will be adapted to process materials science data, answer complex queries related to materials science, and formulate research hypotheses
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Perovskite oxides (magnetic oxides) to fabricate emerging interface properties. The position will focus on the electronic reconstruction of the interface, developing ways to characterize the topological
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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and artificial intelligence. The successful candidate will become part of a multidisciplinary
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Department of Biology hosts internationally leading research activity in ecology, evolutionary biology, physiology, marine science and technology, and cell & molecular biology. As a PhD Candidate with us, you
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leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground
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from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalisable path for physical AI and transform how
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workplace will be located in Trondheim. About the project Future 6G and beyond communication systems are expected to integrate terrestrial cellular networks with non-terrestrial platforms, including Low Earth
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, Alzheimer's disease, and ALS. Among other techniques, we use functional MRI (fMRI), which is a method for measuring brain activity and connectivity between nerve cells. MRI measurements can be affected by