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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Sweden Application Deadline 21 Oct 2025 - 23:59 (Europe/Stockholm) Type of Contract Temporary Job Status Full-time Hours Per Week
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modelling (potentially Python), and qualitative research of socio-technical dimensions. You will collaborate with PhD candidates in chemistry, chemical engineering, and industrial economics. We are therefore
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their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Experience in machine learning, algorithmic theory, or code
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subject: Information and Communication Technology Third-cycle subject: Informations- och kommunikationsteknikWe are opening three PhD student positions within two major research initiatives at KTH: SMART
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systems. This PhD project, part of a national initiative, aims to use AI to design and optimize thermal interface materials (TIMs). It combines machine learning, materials informatics, and experiments
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content of these processes, studied as a coherent whole. See: https://www.gu.se/en/research/didactic-classroom-studies Phenomenography, Variation Theory, and Learning Study explores questions about how to
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We are seeking a motivated PhD student in computational materials physics, particularly AI-driven studies of nanomagnetism. The PhD student will work within an active research group in materials theory
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in modulating bile duct inflammation and fibrosis using translational research models of PSC. This PhD project will employ a combination of in vitro (immortalized and primary cholangiocytes), ex vivo