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engineering to biological sciences. Background Investigation and EEO Statement Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible
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semesters Beginning Winter semester Application periods https://www.gsefm.eu/applicants/requirements-and-deadlines.html Combined Master's degree / PhD programme Yes Joint degree / double degree programme No
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technological solutions capable of efficiently recycling diverse feedstocks, including production scrap, and mixed lithium-ion battery chemistries. Besides, it will also take safety, energy efficiency, CO2 and
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work through participation in these international collaborative projects and centres. They also receive knowledge and skills that go beyond a curricular programme of study, namely, through the active
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responsibility for discrete components of a larger project under the general direction of a senior or principal researcher. The position is contingent on the continuation of funding. Unit/Department Summary https
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be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 6 hours ago
education go hand in hand. As it is an integrated graduate school, the primary intention of the college is improving and furthering the education of young researchers affiliated with the research projects
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Mathematical Sciences is part of the Georg-August University School of Science (GAUSS) offering structured doctoral education, promoting excellent research in mathematics and natural sciences (https://www.uni
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show