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with an investigator that has a deep and demonstrated commitment to broadening access and inclusive excellence. Opportunities to learn new scientific skills and grow professionally. What you bring: PhD
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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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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, 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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scholarship + CEITEC PhD School scholarship. Requirements on candidates: Motivated smart people that have the “drive” to work independently, but also willing to learn from other people in the lab and
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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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invites applications for a full-time, Non-Tenure Teaching Track, Assistant Professor position with a specialization in Generative AI, Large Language Models (LLMs), and Deep Learning. We seek a dynamic
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papers. Lab: https://lammellab.org/ Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) Additional qualifications (required at time of start) At
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Institute of Technology (SIT) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be
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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