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applicant promises to work full time at SPST upon acceptance of the offer. Application Procedure: Applications should include curriculum vitae, a 3 pages statement of research interests and the names of three
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Work at MAI . Work assignments As a postdoctoral researcher you will conduct research on methods for automated dose planning of brachytherapy, which is a modality of radiation treatment of cancer
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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devices’ effects on health. Duties include recruiting participants, processing biospecimens, scheduling visits, delivering medication/placebo, and analyzing ECG data. The role supports several grant-funded
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RNA/DNA isolation, RT-qPCR Immunofluorescence and confocal imaging Mentor trainees and contribute to institute-wide collaborations Contribute to manuscript preparation, grant applications, and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months 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:Science
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of Developmental Pediatrics at KUMC (https://www.kansashealthsystem.com/care/specialties/child-health-development ), and the Hoglund Biomedical Imaging Center (http://www.kumc.edu/school-of-medicine/hoglund-brain
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, connectomics and human vision; 2) Working closely with EM technicians to create raw image data for multiple marmoset connectomes; 3) Working with programmers to provide AI-based automated connectome creation and
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fellowship program which includes advanced fellowships in cardiac imaging, interventional cardiology, cardiac intensive care, pulmonary hypertension, and heart failure/heart transplantation. The division
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in