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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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science data. For this position, we're seeking candidates with a background and expertise in Large Language Models, Computer Vision Models, Deep Neural Networks, and/or other 'AI' or Machine learning fields
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, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration
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development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data. You will have a proven track record of
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environments (Gazebo, Unreal Engine, or Unity). You have experience in artificial intelligence (Deep Learning, PyTorch) or embedded systems (ROS2, FPGA/VHDL design). You are curious, show scientific rigor and
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student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research/phd-programme . CBS PhD graduates are held in high esteem not only in academia and research
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This PhD explores light estimation and synthetic relighting of real scenes by combining generative deep learning with computer graphics. It aims to reduce issues such as hallucinations and temporal
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retained for this engagement, which is being led by Jim Sirianni, PhD and Laura Bertonazzi, EdD. Express interest in this role by filling out the Talent Profile [https://www.dsgco.com/search/22546
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duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment ) for further information. Qualification requirements PhD stipends are allocated to individuals who
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application development. Deep Learning techniques, Data Engineering, and Semantic Technologies Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data