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develop research within the fields of material science, tribo-chemistry and tribology. Subject description Machine Elements include analysis and optimization of components and systems based on performance
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application! Work assignments AIR2 is a five-year multidisciplinary national project financed by the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity
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Centre for Sustainability Studies (LUCSUS), Sweden. The successful candidate will be part of the project “Social consequences of digitalisation of agriculture: Carbon farming actor networks and impacts
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approaches to identify, assess and manage chemical risks in water. In this project, funded by Water Wise Societies (Impact Innovation programme), we will work with the water sector to develop a new praxis for
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. The department comprises approximately 30 active research groups with diverse scientific profiles. The postdoctoral project is part of a larger collaborative and interactive initiative involving Umeå University
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the last three years prior to the application deadline. Experience in some of the following areas is meritorious: AI and machine learning; convex analysis; functional analysis; mathematical statistics
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collaboration with industry at both national and international levels, with applications in the transport and manufacturing sectors. Work tasks mainly consist of research, data collection and analysis, writing
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optimization and functional characterization of small molecules Integrating biophysical, computational, and cell‑based data Independent experimental design, data analysis, and interpretation Active participation
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ovarian cancer and accompanying biomarkers for guiding personalized therapy. Work duties The main duty is to conduct research within the subject area, including experimental work, data analysis
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We are recruiting a highly motivated postdoctoral researcher to work across two synergistic research projects that aim to transform early-life management of piglets in commercial production systems