39 assistant-professor-computer-science-data-"Multiple" Postdoctoral positions at Leibniz
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at internal and external meetings. Successful applicants: had a completed university degree (e.g. master, diploma) in biology, neurobiology, biophysics, physics or engineering and already hold or will complete
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of project results at international scientific conferences Curation and publishing of data collected in the framework of the project Supervision of students and research assistants in project-related tasks
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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, Raman spectroscopy, Scanning electroscope microscopy). Analyze data, contribute to scientific publications, and present research findings at international conferences. Collaborate closely with our
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers a Postdoctoral Research Position (m/f/div) on the following topic: Mg-based
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology