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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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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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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
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duties. The position will involve a mixture of methodological and collaborative research in diabetes genetics and genomics. The methodological research may include but is not limited to statistical models
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applies sophisticated statistical analyses to these unique and state-of-the-art datasets to model processes related to aging and disease. The postdoc will join a growing multidisciplinary team of
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. TheUniversity has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg
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subject of research, which will be a teamwork involving close collaborations of the experiments, kinetic modelling, and computation fluid mechanics simulations. The new employee will have main task
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. Special focus will be put on the development of microfluidic systems based on acoustofluidic chromatography and enrichment (trapping) of submicron particles, especially biological nanoparticles such as
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Subject description The postdoctoral fellow will join a project focused on developing protein-based electronic components, with the ultimate goal of enabling in-cell production of semiconductor