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qualifications at the time of hire. D octor in Philosophy (PhD) in Immunology, Cancer Biology, Molecular Biology, Biochemistry or related field in the bio-medical sciences. Experience in cell culture and basic
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Department Name PHARMACOLOGY Location Code PHARMACOLOGY (06230A) Is this split and/or fully grant funded? Yes Duties and Responsibilities The Department of Molecular Pharmacology and Neuroscience at Loyola
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equity. Pay Range: 73,800-80,000 The Fang Lab of Neurogenomics (fanglabstanford.org (link is external) ) at the Wu Tsai Neurosciences Institute, Stanford University, is seeking postdoctoral fellows to join
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computational skills applied to hydrologic or climate variables, sub-seasonal to seasonal climate forecasting or climate change projections. Other research specializations broadly related to water resources and
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, biomedical engineering, computer science, neuroscience or similar field Experience acquiring and analyzing magnetic resonance spectra or images Track record of scientific publications Preferred: Experience in
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transformations, quantum information science, microelectronics and energy storage. The research will involve the use of pulse radiolysis at the Chemistry Division’s 9 MeV Laser Electron Accelerator Facility (LEAF
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experience for publishing impactful papers. Assisting with grant application. Education Requirement: PhD and/or MD degree in Neuroscience, Computer Science, Electrical/Biomedical Engineering, Psychology
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to apply are: Ph.D. or related degree completed in neuroscience or an associated field. Experience with a programming language (MATLAB, Python, R, or others). Expertise in neurophysiology or animal behavior
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, PhD, Alon Poleg-Polsky, MD, PhD and Benjamin Scholl, PhD. Examples of Work Performed Electroretinogram measurements Whole-cell patch-clamp electrophysiology Two-photon calcium imaging of cellular
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for analysis of complex systems, in particular towards the identification of regime trends and tipping points Deduce hypothesis on the principles of system evolution and development Build computational models