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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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Biology The Department of Laboratory Medicine At present, the institute has about 340 employees and approximately 450 million SEK in total assets. This open postdoc position is in association with Professor
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the current project (e.g. Business administration, Human geography, Political Science, etc.). The degree must be completed at the latest by the time the employment decision is made. Since employment as a
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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for candidates with a doctoral degree that is a maximum of three years and in one of the following areas: material science, polymer science and technology, chemistry, chemical engineering, wood science, or related
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on the nanoscale. The project is conducted at the national center for molecular life sciences and in the Advanced Light Microscopy facility (ALM, https://www.scilifelab.se/units/integrated-microscopy-technologies
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Institute of Advanced Neutron and X-ray Science. AMBER is funded by the EU’s Marie Skłodowska-Curie (MSCA) COFUND programme. Approximately 14 postdoctoral fellows will be recruited in this first call, and
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that makes an impact. All that's needed is a place where ideas have the space to meet and grow. That's what we've created – and you are invited. Change starts here! The Faculty of Technology has a broad range
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming