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, psychology, movement science and signal processing. Main Responsibilities The PhD candidate will be involved in all stages of the research, from the design and implementation of the experiments to data
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 6 days ago
well-defined chromium precatalysts for applications in olefin upgrading and the activation of strong bonds. The Cramer group invites applications for a PhD Student (m/f/d)in Organometallic Catalysis
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strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position is part of the national research programme DDLS. Data-driven life
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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with health/real grid data or machine learning is beneficial but not mandatory. We Offer One year funded of 3-year PhD position (SIF Doctoral Student Grant). Access to high-performance computing
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for work, money and society. This PhD combines economics, psychology and health science to look into this topic for the first time. You will gain skills in behavioural experiments, data science and health
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A 4-year PhD position is available
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the digital twin of the welded structure and provide the basis for the second PhD project, which will use the digital twin together with monitoring data to develop prognostic structural health monitoring