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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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Hydrogen is expected to play a key role in the energy and fuel mix of future sustainable transport systems. However, due to its small and light molecular structure, hydrogen exhibits significantly
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Lallemend at the Department of Neuroscience, Karolinska Institute, to investigate the molecular landscape of the inner ear during development and under various physiological and pathological conditions. The
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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, aiming to improve diagnostics and clinical risk stratification through molecular profiling of affected patients. Description of the project Our research team explores the molecular underpinnings
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range of disciplines in plant biology, including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see www.upsc.se). The postdoctoral scholarship
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approach combines behavioral experiments, psychophysiology, computational modeling, and brain imaging (fMRI). We offer a dynamic, international research environment where you can contribute to top-level
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Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
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molecular mechanisms underlying amyloid formation from the protein transthyretin. Transthyretin normally functions as a transporter protein of thyroxine and retinol-binding protein (RBP) in the serum and
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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking