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novel sensing to land, rest, and collect environmental data efficiently, extending mission duration in natural, unstructured settings. Job description We are seeking a motivated PhD candidate to join a
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nationalities. Your application Find details about the IMPRS, our research, and our online application procedure at: https://www.mpimp-golm.mpg.de/IMPRS-PhD Closing date for applications: 10 January 2026, 23:59
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documents that have to be completed, scanned and attached you will find HERE. Rector Prof. Michał Markuszewski, MD, PhD Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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at the molecular and cellular levels to global processes at the ecosystem level. The subject is divided into a range of sub-disciplines and specializations. The PhD program at the Department of Biology includes many
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as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/
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specified duties. A PhD in the field of industrial ecology, sustainability analysis, environmental sciences, natural sciences, civil engineering, or any other relevant to the field specified above. You must
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graduate students (BS, MS, and PhD), including student records management, OPT/CPT processing, advising support, and coordination of graduation clearances and awards. The Advisor also assists with graduate
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PhD programs of TU Graz, and be an engaged mentor for our students. At the Department of Computer Science and Biomedical Engineering, undergraduate courses are taught in German or English, graduate
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer