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-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease â, Acta Neuropathol Commun, 2023 PMID: 37101235 Working Conditions: This position works in a laboratory environment with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
interpretable artificial intelligence to improve prediction accuracy while ensuring biological interpretability. The candidate will contribute to building computational frameworks that integrate diverse imaging
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genetic analyses of amyloid imaging identify new genes for Alzheimer disease ”, Acta Neuropathol Commun, 2023 PMID: 37101235 Working Conditions: This position works in a laboratory environment with
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RESEARCH INSTITUTE DR. JOSEP TRUETA (IDIBGI) opens the selection process to cover one job position to be part of the Translational research group in cardiovascular respiratory diseases (CAREs), led by Dr
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techniques and high resolution imaging, perform in vitro functional analyses including patch-clamp and calcium measurements. Perform small animal surgery and in vivo phenotyping analyses. Develop and maintain
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proteins and perform western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep
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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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in medical image processing, registration and analysis and a long-term interest to work in the health care sector. If you are interested in this position please contact: Dr. Allison Payne
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
contribution to our focus project of realizing online-adaptive proton therapy, enabled by an AI driven, fully automatized feedback loop of imaging, PGI-based treatment verification and fast adaptation. Therefore