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research and partnering with brilliant minds across campus, this is your moment. Step into a role where your skills accelerate discovery, empower scholars, and strengthen Duke’s mission of excellence. Take
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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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activities, all necessary information regarding the reporting process can be found on our website: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen . Compensation & BenefitsWhere pay
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, able to target HPC and the above novel architectures Your Profile: Master’s degree (preferably with subsequent PhD degree) in physics or a related field at the start date (ideally with a background in
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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, and a wide array of family- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Essential Physical Job Functions: Certain jobs at Duke University and
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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to laboratory and farm animal research units (https://ansc.illinois.edu/about/facilities). The campus is home to internationally recognized facilities and interdisciplinary programs including the Carl R. Woese
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Application deadline: 30/05/2026 How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free
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. Our Batteries and Charging team focuses on the electrification of transport to tackle climate change by accelerating the shift from the use of fossil fuels towards sustainable transport. Our core areas