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-XPS workflows for the battery community, focussing on model battery systems, current collector materials, and simplified electrolytes. We will establish a lab-based NAP-XPS at Chalmers in 2026 featuring
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employment decision is made. Doctoral degree in remote sensing, geoinformatics, computer science, or a closely related field. You have experience developing and applying deep learning models for Earth
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community, focussing on model battery systems, current collector materials, and simplified electrolytes. We will establish a lab-based NAP-XPS at Chalmers in 2026 featuring in-situ/operando battery
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genome editing approaches, as well as co-culture systems modeling neuron–glioma interactions, with the main focus on investigating the impact of neuronal activity on 3D genome organization and cellular
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment
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agricultural systems that are based on forages, such as leys and pastures, and ensures the supply of environmentally sustainable food from ruminants. The research includes development of growth models, crop
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stem cells (HSCs) to mature blood cells (references 1-7). This is studied in genetic mouse models, in healthy human subjects as well as in myeloid malignancies. Key technologies applied towards
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of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties
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MEuro) with nearly 40 industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation