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at the University of Bonn, a W2 Professorship for Translational Molecular Imaging in Nuclear Medicine (successor to Prof. Dr. Dr. R. A. Bundschuh) is to be filled at the earliest opportunity. The Department
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 22 days ago
vocational training previous experience in a comparable position strong MS Office skills, especially Excel experience with SAP R/3 (FI and CO) or other comparable accounting systems strong analytical approach
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of research results with industrial partners Acquisition of industrial projects and publicly funded projects Presentation of R&D results towards internal and external partners Supervision
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are shaping the sustainable transformation of the energy system through outstanding research results, successful industrial projects, company spin-offs and global collaborations. Our department offers R&D
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understanding of econometrics, causal inference and quasi-experimental methods is a strong asset; Previous experience in policy impact evaluation is an asset; Knowledge in statistical software like R is an asset
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. What you can expect Opportunity to work in challenging R&D projects Collegial, open-minded and friendly team Flexible working hours to balance studies and work experience Extensive professional support
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Hochschulstudium der Medizin, die qualifizierte Promotion und die pädagogische Eignung, die i. d. R. durch Erfahrung in der Lehre nachgewiesen wird. Außerdem sind zusätzliche wissenschaftliche Leistungen (die
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 22 days ago
demography, economics, sociology, or a related field. A good command of English is essential. Knowledge of R or Stata is appreciated. The tasks include Literature search and compilation of summaries/overviews
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instruments at FRM II. You will actively participate in R&D programs aimed at exploring novel detector concepts for neutron scattering applications, conducted within an international framework. You will enhance
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comprehensive programming experience in python and/or R demonstrable experience in multi-omics and/or single cell omics data analysis knowledge of machine learning principles and applications very good