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scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy
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Full time, fixed term until November 2028 Exciting secondment opportunity to work as a Postdoctoral Research Associate within the School of Medical Sciences in Tumour Microenvironment Base Salary
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immunofluorescence, in situ hybridization, genotyping, quantitative PCR, micro-computed tomography, fluorescent and confocal microscopy imaging, cell culture, and computer based data analysis. Digital PCR and new
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evaluation process etc please visit: ambercofund.eu Minimum requirements • PhD in structural biology/chemistry, with excellent knowledge of biochemistry and molecular biology, including experience in protein
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT
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assist us with the review process. You may upload these documents to the application under CV/Resume. Required Education and Experience Appropriate PhD in a related field. Knowledge, Skills, and Abilities
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of the Institute for Musculoskeletal Health and the broader University through engagement in relevant projects and initiatives. About you Completed PhD in a relevant field in health. Demonstrated experience in
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anticipated to focus on advancing imaging techniques within the lab and will provide a supportive role to other projects within the group. Individuals with engineering (biomedical and mechanical/materials
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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transferable and interpretable models for tabular data, efficient learning paradigms for medical imaging, and causally grounded and identifiable representation learning. You will have great freedom to influence