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the Job related to staff position within a Research Infrastructure? No Offer Description At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and
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, using fast cameras, radiation detectors, and deep-learning architectures capable of operating within milliseconds. It will also include collaboration with medical physicists and clinicians to integrate
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large-sample hydrology (LSH) datasets, deep learning rainfall-runoff models, and hydrological alteration analyses, with the ultimate goal of improving the identification and management of ecological flows
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https://www.academictransfer.com/en/jobs/357205/2x-phd-positions-in-the-mathema… Requirements Specific Requirements You have, or will shortly, acquire a Master's degree in either Mathematics
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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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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be
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machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured and scientifically sound manner. I read technical papers, understand the nuances between different
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candidate will undertake tasks in WP2 on the AI4MAP project focusing on developing deep learning models for ecological perception and characterisation of Posidonia oceanica seagrass. The tasks include
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to provide PhD students with an in depth understanding of the fundamental theories and learning methods, as well as advanced issues of neural networks and deep learning. Students will gain an in depth
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Statistics → includes enhanced salary compared to standard PhD funding in Switzerland. Website for additional job details https://www.izb.unibe.ch/about_us/open_positions/index_eng.html Work Location(s) Number