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Field
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Functions The successful candidate will lead a project investigating the immune-cardiac stroma interphase in heart disease, using a combination of molecular and cellular biology approaches, mouse models
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: Prior background in studying bio-molecular condensates using a combination of biochemistry, fluorescence and quantitative modeling methods is highly desired. Prior backgrounds in single-molecule imaging
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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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will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell/organoid culture, cellular/molecular biology, flow cytometry
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and working experience in BSL2, BSL3 and ABSL2 and ABSL3 labs preferred. Research interests include animal models as synergetic platform for preclinical development of therapeutics and molecular biology
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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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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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are critical for this position. Demonstrated expertise in patch-clamp recordings from cultured cells, acute brain slices, or the calyx of Held synapses is highly desirable. The group also utilizes molecular
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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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, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational