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% superannuation About the opportunity The University of Sydney’s School of Physics is welcoming applicants for a Postdoctoral Research Associate in Neuromorphic encoding for biological neurocomputation. Funded by
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc in
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Post Doctoral Fellow - Biostatistics and Data Science - (2600002N) POSTDOCTORAL FELLOW: The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is
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We are seeking a full-time Postdoctoral Research Associate in Sonochemical Reaction Engineering – Chemistry and Catalysis to join James Kwan’s Physical Acoustics Lab at the Department
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in confocal imaging techniques and equipment. Good tissue culture and molecular biology experience. Must be able to work independently as well as part of a multi-disciplinary team PREFERRED
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Base Salary $113400 + 17% superannuation About the opportunity We are seeking a motivated Postdoctoral Research Associate to join a major multi-disciplinary research partnership between Laser Bond Ltd
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Internal Number: 1119227 Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land
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Description Job description We are seeking a postdoctoral researcher in vehicle or traffic engineering, with a focus on the longitudinal dynamics of cyclists. The work includes modeling, numerical analysis, and
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular and Cell Biology Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA Status: Exempt Work
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computational modeling. The postdoctoral candidate will: Analyze quantitative molecular and imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory