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of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 hours ago
therefore encourages applications from such qualified individuals. Interested candidates are invited to complete the online application form and submit their application in English. Please include: A cover
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Payments made by the DAAD: Monthly scholarship payments of 700 euros Health insurance Two-month language course in China (if necessary) Two-day pre-departure training Monthly research allowance
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project led by the MDC/Helmholtz Imaging, GEOMAR, Hereon and FZJ, fully committed to Open Science. We are looking for a PhD student or Postdoc or Research Software Engineer to join our highly vibrant and
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activities such as our weekly research seminars and summer schools. Each term, there are several specialized courses at an advanced master’s/early PhD level. As a member of the ALGANT consortium we have
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with project B5 “Clarifying the Common Ground: A Crosslinguistic Investigation of the Form and Pragmatic Function of Reprise Questions and Reprise Fragments” of CRC 1718. The project seeks to undertake
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of Engineering and Design. You help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise student research. Your profile: If you are a postdoc, a very
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University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
to bridge between physics, engineering, and mathematics Ability to communicate work in written and presentation form Ability to manage and organise projects with realistic time planning Ability
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in