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Field
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scientifically curious researcher who is passionate about understanding the environment. Applicants must have a university degree (master/diploma) and a PhD in meteorology, oceanography or a related natural or
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reviewed journals; conducting detailed literature reviews; participating in academic conferences; and presenting research findings and project outcomes. Requirements PhD in Political Science, Psychology
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 1 month ago
Analysis of experimental results Expertise in spectroscopic measurements and/or Scanning Probe Microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a
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Expertise in spectroscopic measurements and/or scanning probe microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a team Background in electronic
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of results in peer-reviewed scientific journals and presentation at conferences Your Profile: Passionate and curiosity-driven candidate with an PhD degree in Physics, Nanoscience, Chemistry, or related fields
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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
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part of the ERC project DYONCON. You will work in a multidisciplinary and international environment, in close collaboration with the group and our external partners. Requirements: PhD and Master's degree
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recognized journals and at national and international conferences Collaboration with other research groups Supervision of PhD students and other students Support in the preparation of third-party funding
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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and to identify new therapeutic targets and prognostic biomarkers. Novel data integration methods allow to identify signatures of retinal cell types in liquid biopsies without the need for a direct