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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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Bioscience, a two-year position as Postdoc in computational discovery of disordered crystalline materials is open for appointment from 1 July 2026 or soon hereafter. Your work tasks A two-year postdoc position
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to computational materials, mechanics, or related fields Proven ability to work collaboratively in an interdisciplinary research environment and mentor graduate students. Experience with high-performance computing
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that houses advanced 3T human and 9.4T preclinical MRI scanners, both equipped with ultra-high-performance gradient systems. MINIMUM REQUIREMENTS Education: Applicants must hold a doctoral degree, preferably a
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University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s
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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 27 Apr 2026 - 12:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week
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with high-performance computing environments. Independent, creative, and able to thrive in a collaborative, interdisciplinary setting. What We Offer A stimulating research environment at Helmholtz Munich
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applications to join the Junior Research Group of Cardiac Aging and Nutrition for 1 Postdoc (m/f/d) starting as soon as possible. Project description As part of a project funded by the German Research
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LFRic, land surface models like JULES, and urban canopy models. Advanced proficiency in scientific programming within high performance computing environments is also highly desirable, as is experience
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Start date: September 2026 (flexible) Duration: 3 years (36 months) Project The High Performance