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Field
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. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation
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are expected to contribute to synergistically bridging important theoretical developments in mathematics and vibrant emerging mathematical foundations in Data Science/Machine Learning. Candidates must have a
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relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit The UNC Eshelman School of Pharmacy (www.pharmacy.unc.edu) is one of six health
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. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation
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University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine the CLARA AI agent — bridging cutting
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. The lab's guiding principle — “Bridging Structure & Function, via Dynamics” — investigates how the intrinsic flexibility and collective motions of biomolecules govern molecular recognition, allosteric
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programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence and bridging the gap between human and machine. Additional Information Benefits
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approaches for machine learning. Research interests span representation learning, statistical inference, trustworthy machine learning and generative models. DATA is hosted at the interdisciplinary Centre de
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methods and experimental characterization techniques. The proposed research position will bridge the expertise of Prof. Maria Diaz Lopez’s group, specializing in X-ray diffraction and related analyses