230 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral research jobs in Germany
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Programme? Not funded by a EU programme Reference Number LIN2025/09 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hippocampal Plasticity and Memory group
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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employment (subject to release of funds) The Bundesanstalt für Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry
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for Mass-Spectrometry Imaging / Spatial Metabolomics (f/m/d) This position is funded by the MULTI-SPACE alliance of the Health & Life Science Alliance Heidelberg & Mannheim, supporting a joint Mass
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largescale facilities. You are experienced to work in a team including PhD and Master students and will co-supervise their thesis works. The position serves the scientific qualification in the field
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research profile and to apply for research funding. Teaching requirements are according to the Bavarian University Law and involve livestock and grassland related courses (5 hours/week). The position is
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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Universität Berlin. The Mexican-German interdisciplinary project is funded by the German Research Foundation (DFG) and works in close cooperation with the Humboldt-Universität zu Berlin, the Universität Potsdam
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collaborative EU or national research projects. Working language in the group is English. The position is available for a funding period of three years, starting at the earliest date possible. The salary depends
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics