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that are very strong in AI and computational modelling of energy materials, and we are building labs for autonomous materials development. Large facilities, such as synchrotron and neutron facilities are close-by
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Sciences, or related field. Experience: Tumour immunology, T cell biology, or immunotherapy; murine models and in vivo work; adoptive transfer valued. Specific Requirements Skills: Flow cytometry, data
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engineering. Minimum 3 years of relevant postdoctoral research fellow experience. Research focus in energy planning, energy system modelling, energy transition, energy literacy, and transdisciplinary education
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RSE) in the field of model and code development for the transformation and circularity in energy-intensive industries (steel, cement, and plastics) starting as soon as possible. The position is
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at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics (including single cell and spatial transcriptomics) our
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-derived myeloid precursors and joint-resident fibroblasts spread psoriatic disease from skin to joints Nature Immunology, 2025 https://doi.org/10.1038/s41590-025-02351-z Effects of different B-cell
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Research Areas: mechanical, fluid transport, photonic, and energy materials, supported by four Cross Areas dedicated to imaging, modeling, data, and exploitation. Together, they form a vibrant
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surgical experimental models. · Familiarity with Good Scientific Practices (GSP), Good Cell Culture Practices (GCCP), and regulatory compliance in animal research. How to Apply: For full
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analytical energy models and neuromorphic execution platforms developed within the e-BRAIN group, the work will investigate how temporal quantization, neuron dynamics, and architectural constraints influence
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computational modelling of materials, in particular for applications in solar energy, sensors and nanomaterials. We collaborate with experimental groups both at the University of Sheffield and in other