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other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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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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stochastic differential equations (SDEs); Extending recent quantum simulation techniques to accommodate non-physical processes found in generative diffusion modeling; Demonstrating a prototype of the quantum
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) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills before transitioning to independence within academia or bio-pharma industry. Transferring
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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UiO/Anders Lien 24th July 2025 Languages English English English PhD Research Fellow in Machine Learning/Artificial Intelligence Apply for this job See advertisement About the position Position as
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of endogenous DNA-processing machineries (Xenopus). We use a combination of biochemical and single-particle cryo-EM approaches. We are currently also developing in situ cryo-tomography imaging of replicating
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection