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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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computational biology and immunology are also welcome. Our laboratory focus ranges from the study of basic biological processes to very translational bench-to-clinical research with implementation of laboratory
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Position Details Position Information Requisition Number S4411P Home Org Name Pathobiology Division Name College of Veterinary Medicine Position Title Research Fellow I/II - Genomics/Bioinformatics
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APP Surgery and Surgical Critical Care Fellowships - 37369 Faculty Description University of Colorado Anschutz Medical Campus Department: Surgery Job Title: APP Surgery and Surgical Critical Care
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months, in the first instance. Application Process If you would like to discuss this role please contact Prof Regent Lee at regent.lee@nds.ox.ac.uk Applications for this vacancy are to be made online. You
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to contribute to an exciting European project developing hydrothermal processes for the management of solid digestate and other waste from the olive oil production process. About the Role We are seeking a
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 18 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Bioinformatics Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of