234 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Germany
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology
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consisting of biologists, MDs, and bioinformaticians. Our group fosters independence, innovation and collaboration of the next generation of scientists. The position is available for an initial period of two
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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travel to present at scientific conferences and strengthen inter-lab cooperations Your Profile: University degree (Master) in computer science, physics or a comparable scientific field PhD in one
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completed university degree and a completed PhD in linguistics (or a related social science relevant to the topic of the project) Very good knowledge of conversation analysis, interactional linguistics, and
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environment • Attractive conditions and benefits, an interdisciplinary research institution that fosters innovation and collaboration and are committed to training and career development of the next
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
environment with a strong focus on immunology Close collaboration with leading scientists in the field of pediatric immunology and rare immune disorders Opportunities for professional development and career
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 5 days ago
strong links to theory groups at the institute and astrophysical interpretation and modelling work may also be included. PhD in Physics or Electronic Engineering. Knowledge of relevant technologies and/or
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. The position is for at least 12 months, starting at the earliest opportunity. Applicants should hold a PhD or equivalent in Materials Science or Physics. Experience in some of the following areas would be highly
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, CSF) and/or advanced workflows such as spatial proteomics is highly desirable Strong collaborative spirit and working in interdisciplinary environments Excellent written and verbal communication skills