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) for the Hyperfine Swoop system in Lund, neuroradiologist Finn Lennartsson (MD, PhD). The project assistant will work on‑site and be surrounded by radiological expertise (MR physicists, radiologists, radiographers
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the following elements: an application letter a note on the applicant’s PhD research project (5 pages at most) two letters of reference Incomplete applications or applications that do not use the template
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above.The PhD project must be in the field of health policy and systems and/or social approaches to health. Main Research Field: Public Health Required educational level: Master level in Public Health
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join our pioneering PhD project on Digital Product
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, open, and engaged environment. In addition to a challenging PhD research project, we offer: A temporary 48-month contract (1.0 FTE). Employment period will be for 12-months with the perspective
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PhD Position – Development of metal-organic frameworks-glass composites for sustainable applications
to staff position within a Research Infrastructure? No Offer Description This is a PhD project focused on the design, synthesis, and advanced structural characterisation of MOF-glass composites
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Group Microsystems Technology of
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to staff position within a Research Infrastructure? No Offer Description PhD Student in Law As part of the SNSF-funded project “Responsible AI for the Swiss Judiciary”, we work on real-world
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 5 days ago
(R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Brussels) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 25,87 Offer Starting Date 1 Jul
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under dynamic workloads, strict real-time constraints, and limited computational resources remains a key technical challenge. This PhD project addresses these challenges by developing efficient