176 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" positions at Leibniz in Germany
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challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM Wellpass Submission of application
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Computing and Data Science, which is currently being established at JLU. At JLU, the professorship contributes to teaching at a rate of two semester hours per week. You will be responsible for teaching
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increasing atmospheric pollution by space emissions. On the regional level, we closely cooperate with the University of Rostock and are an integral part of the teaching program of the Institute of Physics
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atmospheric pollution by space emissions. On the regional level, we closely cooperate with the University of Rostock and are an integral part of the teaching program of the Institute of Physics. Further, we
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jobticket for using the public transport Easy accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits
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CRC RESIST Phase II program, creating a superb scientific network. RESIST is coordinated by the University of Duisburg-Essen with the participation of the Ruhr-University of Bochum, Christian-Albrechts
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The Leibniz Institute of Virology (LIV), is committed to research on the biology of different human viruses as well as the pathogenesis of viral diseases. The Institute offers the opportunity to perform cutting-edge research in a world-class research environment with excellent technical...
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Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research program. The doctoral thesis will be based in the working groups Organic Trace Substances (Organic Trace
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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qualifications Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field, In-depth theoretical knowledge in Machine