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Field
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET
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commitment to excellence in our students, faculty, staff and all our activities. The main research project is to study sub-cellular dynamics. We use super-resolution imaging techniques. Particular emphasis is
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enabling and coordinating metabolism. In the course of evolution, the same molecules have attained more and more key roles as regulators of virtually all biological processes, often through posttranslational
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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therapies can be packaged in mobile apps. The postdoctoral researcher will work with MSc students to prototype and evaluate these concepts through laboratory studies and limited field trials. The results will
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of autonomy and involvement in study designs, data analysis, and method development – your ideas and contributions will be welcomed at all stages of the research process. Individualized training
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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health
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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable
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, modified Paleolithic diet and usual diet (with Dietary Guidelines for Americans information) diets in the setting of multiple sclerosis, which will include biomarkers and brain imaging at baseline and after
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at the University of Oslo. More about the position / Project description We seek a computational physicist for a 3-year PD position in the project MinMix (Mineralization as a fluid mixing process) funded by