15 image processing "The California State University" positions at Karolinska Institutet
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in magnetic resonance imaging funded by the European Research Council (ERC). The role includes working with existing neural networks for image analysis and image processing with technical experience
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including vision transformers, for computer vision tasks. Previous experience in image analysis/processing. Bachelor’s and/or MSc degree in machine learning, computer science, electrical and computer
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, migration and viability assays. Additionally, you will be required to assist in the laboratory with basic molecular biology techniques, tissue processing and cryosectioning, immunofluorescence staining
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form of so-called DICOM images). Monte Carlo simulations are tob e validated through comparison with experimental data. (ii) Monte Carlo simulations to study the effect of ocular shields in head and neck
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disease contexts, aiming to pioneer new therapeutic approaches. Leveraging cutting-edge technologies like inducible genetic manipulations, lineage tracing, and state-of-the-art confocal live imaging, we
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of in vivo imaging techniques and microtissue transplantation is highly desirable Self-initiative and ability to work independently as well as part of a cross-functional team Excellent English
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multidisciplinary academic environment, representing medicine (e.g., neurology, epidemiology, psychiatry, geriatrics), psychology (e.g., cognition, structural, functional, and molecular brain imaging), and social
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out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following documents in English or Swedish: A complete curriculum
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where we aim to study the effects of specific metal alloy on cellular proliferative and regenerative processes. The work will primarily include various laboratory tasks, mostly the preparation of cells
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clinical expertise (see the instructions regarding the Appointment Procedure for Teachers at Karolinska Institutet). You must be an internationally recognized researcher within the research field with