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Field
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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes
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. Responsibilities include designing and conducting experiments within an interdisciplinary team, analyzing data, and presenting findings. Expertise in cell culture, biochemical and molecular biology techniques
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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duties for this position are the following: Conducts multidisciplinary research in the area of the role of mTOR kinase in growth control and anticancer mechanisms, including in vitro and in vivo models
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the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by immunofluorescence microscopy. You will also build and test TZ-derived molecular prosthetics with the aim
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, Quantum espresso); molecular dynamics simulations (e.g. LAMMPS, DL-POLY); development of inter-atomic potentials (e.g. pro-fit, MLIP-3); Demonstrated experience in meso-scale models such as cluster dynamics
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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translational research. Experience with mouse or rat work is highly desired such as microsurgery (rodent spinal cord injury model), tissue harvesting, and behavioral tests. Previous experience in neuroscience
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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assess their responses by cellular and molecular biology techniques;Establish and characterise human iPSC-derived cell models, including 3D cultures and organoids for musculoskeletal disease research