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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
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Do you want to help shape the future of precision medicine? PredictMe AB, in collaboration with Karolinska Institutet (KI), offers a unique opportunity to pursue an industrial PhD within
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of the EU EuroHPC supercomputer
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processing, computer vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. The University may permit
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DDLS industrial PhD position We are announcing a position for a Data-Driven Life Science (DDLS) PhD student in data-driven precision medicine and diagnostics. To be a doctoral student means to
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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independently. Merits: Education or training in computer vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics
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++ • Experience with robotic systems (ROS, sensors, manipulators, or mobile robots) • Familiarity with computer vision or perception systems • Interest in autonomous systems and agricultural technology • Experience
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allocation, or control optimization). Experience with 3D sensing, perception, computer vision, or sensor fusion. Proficiency in programming languages such as Python, C++, or C#. Experience working with