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”. It is placed at the Department of Earth and Environmental Science, Lund University (LU), Sweden. Work duties The postdoctoral research project will primarily focus on numerical modelling
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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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Description of the workplace The position will be based in the Division of Mathematical Statistics at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is a joint
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or prevent neurodegenerative diseases. The lab uses animal models of disease and in vivo imaging to study the glymphatic system in health and disease. The research is highly translational and uses models
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and combine these protein fractions to maximise their functionality in complex model food product based on emulsions, gels and foams. Detailed description of work duties: You will be responsible
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professionally and personally, and to actively contribute to a dynamic and innovative research community. The position is based in the division for Analysis, Algebra, and Dynamical Systems (LTH). The postdoctoral
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model(s) based on human tissue, preferably tumor tissue. Knowledge in immuno-oncology, with a particular focus on T cells and myeloid cells. Experience of designing antibody-based strategies for cancer
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results. The project has a particular focus on bioinformatic analyses of data from experimental models and patient data, but tasks may be broadened depending on the project's needs. The postdoc is expected
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the understanding and modeling of the hydrological cycle. Our work employs a multi-platform approach, combining measurements from ground-based sensors and satellite constellations (e.g., optical, radar, and
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new research team, including senior researchers and PhD students, combining expertise to advance battery research. You’ll draw on advanced models that assess how charging, temperature, and balancing