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21 Aug 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Physics and Astronomy Research Field Computer science Engineering Physics Technology
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is required. Your workplace The Thin Film Physics Division carries out research, undergraduate and postgraduate education within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf
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a doctoral student, you will also, under supervision: Contribute to various stages of the scientific publication process Present scientific results in different forums Apply for research funding
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engineering, applied mathematics, physics, computer science, or another relevant field, have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 20 days ago
be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande Application You can apply to be admitted to doctoral education via the University of Gothenburg’s recruitment portal
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at Uppsala University? Find out more about what it´s like to work and live in Sweden . Where to apply Website https://uu.varbi.com/en/what:job/jobID:960041/type:job/where:39/apply:1 Requirements Research
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to the successful completion of the project. Welcome to submit your application! Where to apply Website https://lu.varbi.com/en/what:job/jobID:951890/type:job/where:39/apply:1 Requirements Additional Information Work
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Subject area: Biology Description of the PhD projects We are seeking two PhD students in the field of biogas production, with a focus on the digestion process. The biogas process is currently
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funding for fieldwork and conferences, and room to develop your own research profile. Read more about being an employee at Lund University: https://www.lu.se/en/about-university/work-us Work duties and
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: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous