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discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping surgeons to achieve more
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in our group delves into the fundamental neural processes that influence eating behavior, energy expenditure, physical activity, glucose metabolism, all of which play pivotal roles in metabolic health
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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in the acquired autoimmune disorder immune thrombocytopenia as well as in inborn errors of immunity. You will conduct research using human blood samples, processing them for imaging flow cytometry
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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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Are you ready to discover how Artificial Intelligence is transforming tongue cancer surgery? Join our innovative PhD program at the Netherlands Cancer Institute and make real impact by helping
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@ifj.edu.pl The application must include: -CV, -cover letter, - a copy of PhD degree or a document confirming awarding PhD degree, - GPDR consent "I consent to the processing of my personal data by IFJ PAN
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 days ago
vivo models of PD Apply and further develop methodologies such as disease modeling, virus-mediated gene delivery, behavior, immunohistochemistry, tissue clearing and 3D imaging, image analysis, spatial
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large