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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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opportunities for research exchanges and form an integral part of the supportive and stimulating IceLab research environment. Join IceLab to work at the forefront of multidisciplinary science, integrating
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duties involved in a researcher posistion is to conduct research. Detailed description of the work duties: Bioinformatical analysis of gene expression data Analysis of methylation and histone modifications
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network analysis, or other digital research methods. Excellent ability to communicate effectively in spoken and written English. Ability to work independently as well as actively contribute
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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the right one for you! This is a fully funded PhD position to develop micromechanical models of high-pressure die-cast aluminium, a unique opportunity for a motivated individual to work in a collaborative
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will get to shape your own research questions. Your work assignments While you will be free to choose your own research direction(s) within theoretical ecology, your day-to-day work will most likely
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third-cycle courses. The last day to apply is May 30, 2025. Project description and tasks: The PhD student will carry out research in the analysis of Partial Differential Equations as part of a project
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environment. This is an opportunity to combine field work and desktop analyses to advance the understanding of how shipping impacts the marine environment. The research will inform competent authorities on how