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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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, we are looking forward to your scientific support at the Clinic for Radiology! We are seeking a highly motivated PhD student to join our interdisciplinary research team working on multimodal imaging
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histological validation within murine cancer models. We offer an association with the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ-specific inflammation” graduate school
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THE UNIVERSITY OF LIVERPOOL FACULTY OF SCIENCE AND ENGINEERING SCHOOL OF PHYSICAL SCIENCES DEPARTMENT OF CHEMISTRY POSTDOCTORAL RESEARCH ASSOCIATE IN THEORETICAL CHEMISTRY GRADE 7, £39,355 – £45,413
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areas of the group is investigation of the fate of vitamins and other nutrient due to processing of foods, particularly in the context of ultra-processed and plant-based foods. The group also contributes
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a PhD candidate to conduct research in in the areas of criminal law and/or criminal procedure law, ideally in connection with its European, international and interdisciplinary aspects. The doctoral
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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
techno-economic evaluation and proven capabilities in the evaluation and modeling of resource recovery and valorization pathways. The role also requires experience in process and supply chain design
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contact details · List of publications (and patents, if applicable) · Contact details of 2 references Please apply ONLINE formally through the HR system. Application procedure and conditions
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning