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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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focus on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid
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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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breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry, have enabled the creation of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and
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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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, we observe what is happening on Earth today and develop methods, tools and models that enable us to look towards the future and find solutions to global challenges about resources, energy supply and
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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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3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration
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wide sense, with activities spanning from communication theory to channel measurements/modeling and implementation of advanced test beds. Your research will be performed mainly in the context of a large