67 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD research jobs at University of Jena Cluster of Excellence "Balance of the Microverse"
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minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Lino da Silva Ferreira Effective Members: Vitor Manuel dos Santos Francisco; Luís Miguel Beicinha Branco Estronca
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design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these resources support the full development cycle—from early concept design and
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application can be edited until the application deadline. You have 6 hours to complete your application before the timeout. Where to apply Website https://academicpositions.com/ad/university-of-jyvaskyla/2025
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INV.JUN.17.2025 - DCM | JUNIOR RESEARCHER | MATERIALS ENGINEERING, NANOTECHNOLOGY AND RELATED FIELDS
the respective application form, which is available at https://www.fct.unl.pt/en/faculdade/concursos/investigadores . The application process must be instructed with the documentation in Portuguese or English. The
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breeding programs and genetic diversity, across the major species. Most of our research challenges require a multidisciplinary approach. Where to apply Website https://www.academictransfer.com/en/jobs/356339
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surface wettability and developing wetting characterization instruments. More information about our group can be found in: http://physics.aalto.fi/smw . Your experience and ambitions We offer a hands-on
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is a multidisciplinary team studying functional soft materials and surface wettability and developing wetting characterization instruments. More information about our group can be found in: http
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. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/21890771/research-assistant-i Return to Search Results
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning