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extremal and probabilistic combinatorics, as part of Dr. Maryam Sharifzadeh’s project Induced saturation problems for hypergraphs and partially ordered sets (POSets), funded by the Swedish Research Council
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-situ and operando conditions to mimic natural processes and enable practical applications. You will be part of a dynamic research group with extensive experience in nanoparticle synthesis and
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of Informatics, and it connects to ongoing work on the governance, implementation, and consequences of AI in public-sector contexts. As part of a broader externally funded research initiative, the PhD project will
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part of a research group active in the area of molecular geochemistry (http://moleculargeo.chem.umu.se ) at the Department of Chemistry (https://www.umu.se/chemistry ), with many years of experience in
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Description of work This PhD project is part of a randomized controlled trial that compares a novel treatment
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for research and innovation This project is part of the Industrial Doctoral School (IDS), where you will be part of an interdisciplinary group of PhD students, in addition to your research group
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. The Graduate School of gender studies has since 2001 co-financed PhD students at all of Umeå University’s faculties. As a PhD student at the Graduate School of Gender Studies you will take part in a unique and
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that yield valid statistical conclusions (inference) on causal effects when using machine learning algorithms and big datasets. The project is part of the research environment Stat4Reg (www.stat4reg.se ), and
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limited to four years full-time or up to five years when it includes part-time teaching. The salary level is determined according to the established salary level for doctoral employment. The successful
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modification of porous carbons, graphene and graphene oxide, introducing different defects and addition of nanoparticles. Important part of project is aimed on design of environmentally friendly methods