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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 21 days ago
with at least a grade of 'good'. Experience in programming in C, C++, Python, or IDL (or any equivalent) is desirable, as well as experience in the analysis of imaging radio data. The full-time PhD
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applications for the above post. Applicants should apply online and upload (i) a statement of professional interests and a research plan; (ii) an executive summary outlining your field of research and
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plan, comprehensive health and dental coverage, disability and life insurance, office closure at the end of December, and additional supports to enhance your well-being throughout your career and beyond
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education. You must meet the requirements for admission to the doctoral programme in Materials Science and Engineering, https://www.ntnu.edu/studies/phmt . Your academic degree must contain appropriate
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will study the outcomes of field-based courses, programs and internships designed to provide early-career undergraduate students with authentic research experiences in ecology, evolutionary and
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must submit your completed programme application by 1 December 2024. Decision date Award decisions are normally announced during July. Contact details for enquiries Useful links Back to list
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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good