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related to staff position within a Research Infrastructure? No Offer Description Position available within the research project entitled: “Chemo-catalytic Paradigms in Multiphase Waste Valorization - Center
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University in Brno, Czechia — a leading European centre for life sciences with state-of-the-art research infrastructure. WHY APPLY? Competitive ERC-funded salary and a high quality of life This position comes
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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. Networking skills, creativity, persistence, and passion for what you do are highly valued. You will work in Leuven, a historic, dynamic and multicultural city located in the heart of Europe. As PhD researcher
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Gipsa-lab is a joint research unit of the CNRS (French National Centre
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | about 1 hour ago
to support you, even before you start at AWI. This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion
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of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https://www.monash.edu/graduate-research/future-students/scholarships
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patient care, advanced biomanufacturing, the monitoring of ecological systems, and fundamental biological research. The heart of the continuous sensors are binder molecules that specifically and reversibly
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Pathology and Therapeutics Institute (https://optin.pitt.edu) offer many collaborative research opportunities. The Center for Medical Innovation (https://www.engineering.pitt.edu/CMI ), the Coulter
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and