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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 1 day ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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respect to Elders past and present. Teach Health Sociology across undergraduate and postgraduate programs Embed cultural safety and Aboriginal and Torres Strait Islander perspectives in health education
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Apply now Job no:504311 Work type:Full time Location:Hobart, Launceston, Statewide (all locations in Tasmania) Categories:Teaching Intensive Teach Health Sociology across undergraduate and
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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of staff benefits and discounts including: · 26 Weeks paid parental leave for primary care givers · 17% Superannuation contribution · Health and fitness membership options · Accommodation and Car Hire
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committed to building the next generation of integrated clinical and biomedical research programs. This search is open to physician-scientists with relevant degrees (i.e., MD, MD/PhD or equivalent) working in
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ion transport, degradation, and safety. The doctoral candidate will use quantum-mechanical simulations, complemented by advanced machine-learned potentials, to model how charge, atoms, ions, and defects
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, PhD, or DNSc) in nursing or related field. Associate Professor (non-tenure track or tenure track) - Bachelor’s or Master’s degree in nursing and doctoral degree (DNP, PhD, or DNSc) in nursing or related
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 Jul 2026 - 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
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into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI