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), Chapter 5. Additional Information For questions about the recruitment process, please contact Johanna Dahlin at johanna.dahlin@sam.lu.se. For questions about the doctoral programme in sociology of law
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appointed to a doctoral position. In the recruitment process, primary consideration will be given to the applicant’s ability to benefit from the doctoral programme. In addition to pursuing their own doctoral
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. Skills and personal qualities Qualifications: The successful candidate should hold a Master’s degree in bioinformatics, computational biology, computer science, engineering, or a related quantitative field
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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
Prescriptionist and Biomedical laboratory scientist (both first cycle, 180 credits), and a Masters' programme, Biomedical Surface Science (second cycle, 120 credits), as well as first and second cycle freestanding
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Prescriptionist and Biomedical laboratory scientist (both first cycle, 180 credits), and a Masters' programme, Biomedical Surface Science (second cycle, 120 credits), as well as first and second cycle freestanding
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Environmental Physics, Soil Mechanics and Soil Management, and the Biogeochemistry of Forest Soils. We are responsible for important research infrastructure in the form of soil chemistry and soil physics
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for this role, you will need to have the following qualifications/experience: Have a PhD in chemistry, physics or closely related subject At least three years of professional research experience (after PhD) in
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of Chemical Physics at Chalmers University of Technology focuses on developing sustainable energy systems through heterogeneous catalysis for alternative fuel production, emission control, energy storage, and
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18 Oct 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Technology Researcher Profile
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and computer science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making