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within a Research Infrastructure? No Offer Description Department of Crop Production Ecology The Department of Crop Production Ecology is part of the Ecology Centre and together with the Department
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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
, researchers, and other employees with various competencies work together to conduct high-quality education and research. All professional categories and roles are important. You are welcome to apply for a job
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, researchers, and other employees with various competencies work together to conduct high-quality education and research. All professional categories and roles are important. You are welcome to apply for a job
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biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader
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application! We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications. Your work assignments The primary focus of this PhD
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application! Your work assignments You will work on X-inactivation and allele-specific DNA methylation in different contexts, including X-linked diseases, autoimmune disorders, and hereditary cancer as part of
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contacts. More information about the department: Department of Applied Animal Science and Welfare Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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application! We are now looking for a PhD student in Integrated Circuits and Systems, at the Department of Electrical Engineering (ISY). Your work assignments The objective of this position is to develop
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a metamorphic graphite deposit to constrain the geological processes that generate high-crystallinity natural graphite. The PhD project also forms part of a broader research initiative (Sustainable
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look forward to receiving your application! We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications. Your work