190 computer-science-programming-languages-"U.S"-"U"-"U.S" positions at Leibniz in Germany
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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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of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de ). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral
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to fulfill the aims of this projects, computational chemistry aspects of the project will be co-supervised by Dr. Mehedi Davari at the IPB (Projects: Leibniz Institute of Plant Biochemistry English ) and
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Bioprogrammable Materials is looking for an enthusiastic Post-doctoral Researcher with experience in Protein Engineering. We combine synthetic biology and biomaterials to develop smart platforms for therapeutics
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in Bioinformatics, Computational Biology, Biostatistics, Data Sciences or related discipline. Alternatively, PhD in Molecular Biology, Immunology, Biomedicine or related discipline with extensive
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the ZMT DataLab in close cooperation with the Research Data Service Requirements: PhD in computer, natural or social sciences Expertise in computer sciences, including AI and common languages and tools like
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), and at the Centre for Structural Systems Biology (CSSB) on the Hamburg-Bahrenfeld research campus. We are seeking to fill the following position as soon as possible, ideally full-time: Science
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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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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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(Sondertatbestand), ZMT is strengthening its capacities in the field of modelling and adding predictive aspects to its existing research programmes. The institute’s five Programme Areas (PAs) are interdisciplinary