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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Masters students aiming at a fast track PhD are also welcome. The Postdoc
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retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years. We offer: a
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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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systems Experience with state-of-the-art proteomic workflows, including MS acquisition (e.g. DDA, DIA, PRM) and data analysis with dedicated software tools. Computer literacy with at least basic programming
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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a friendly and
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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further opportunities for interdisciplinary training. For more information about the research and study program, visit: https://www.lai.fuberlin.de/en/temporalities-offuture/index.html Job description
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(e.g., GIS, system dynamics, statistical programming) #strong knowledge of qualitative methods in empirical social research #experience working in interdisciplinary and international research projects is
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) and their role in drought adaptation strong analytical skills and proficiency in modelling tools (e.g., GIS, system dynamics, statistical programming) strong knowledge of qualitative methods in