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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 14 days ago
Researcher (R1) Country Germany Application Deadline 30 Oct 2025 - 06:41 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 14 days ago
Researcher (R1) Country Germany Application Deadline 30 Oct 2025 - 06:38 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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for the programme will be 5,000 EUR per study year. Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content Globalisation processes are strongly linked to issues
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for Metabolism Research Teaching language English Languages The programme is completely conducted in English. Programme duration 8 semesters Beginning Winter semester Application deadline The CGA offers a PhD
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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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is based at the Institute of Mechanical Process Engineering and Mechanics. You will work closely with another PhD candidate from the field of cryptography. The project is fully funded for five years
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under