66 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" uni jobs at Leibniz in Germany
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
of processing steps and results Your qualifications: Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German
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information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our
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the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ . For further information about the Senckenberg Gesellschaft für Naturforschung please visit https://www.senckenberg.d e.
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refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ . For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in
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Regulation (HLVO) requires a specific functional interest. You will be appointed as a professor (m/f/d) at JLU and granted leave from this position in order to lead the working group “sustainability assessment
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model in collaboration with partner institutions such as the German Climate Computing Center (DKRZ) and German Weather Service (DWD), including GPU porting. They will perform production runs of ICON and
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Chemistry, Biological Oceanography, Marine Geosciences and Marine Observations work on an interdisciplinary basis in a joint research program. The Leibniz Institute for Baltic Sea Research Warnemünde has a
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On-going master studies in Data Science, Database Systems and Information Management, Computer Science, Physics or Applied Mathematics Knowledge of signal processing, Data analysis and Data handling Interest
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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel