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Field
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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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of Neuroscience, biology, biochemistry or biotechnology or biomedical engineering), or the recognized terminal degree. Required Experience In-depth knowledge of specialized field, process or discipline. May require
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Data Science / Machine Learning Cosmology/Particle Astrophysics Nuclear Physics (more...) Electrical Engineering Appl Deadline: 2025/08/31 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until
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learning frameworks previous experience in natural language processing, sound-based machine learning, development and deployment of health technology software . interest and previous experience in
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a highly motivated Research Fellow with strong expertise in electron microscopy
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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary