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, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Education and Research, the project focuses on two central aspects: accelerating technology development and
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
-nucleic acid interactions (the candidate with prior experience in structure biology and protein expression and modification is preferred. Experience in programming is a plus.) TIRF-based single molecule
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contribute to practical supervisory implementation Your Profile: Enrolment in a Ph.D. programme or Ph.D degree or Masters with 3-4 years of relevant professional experience in Economics, Sustainable Finance
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researchers: two doctoral researchers (m/f/d): reference number: 25_01_A4 These two positions are initially for a fixed term of three years. The institute’s personnel development plan allocates four years
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Oceanography, Marine Chemistry, Biological Oceanography, Marine Geology and Marine Observations work on an interdisciplinary basis in a joint research program. What will be your tasks? The successful candidate
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facilities Competitive research in an inspiring, world‑class environment A wide range of offers to help you balance work and family life Further training opportunities and free in‑house language courses
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well as the needed system software needed to extract a maximum of efficiency form the respective architectures. The latter includes work on programming mod-els, operating systems, scheduling, tools, I/O as
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program submit an education certificate instead of the graduation certificate), academic achievements of docotral studies Certificate of knowledge of German or Englisch language - English: IELTS (5,5
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, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both
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reporting skills (4) Experience in spatial data analysis using geographic information systems (GIS) and programming languages (R, Python) as well as experience in numerical model applications and multivariate