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materials. The first position will focus on developing novel representations for polymers, both for more data efficient polymer property prediction and polymer generation, and the second position will focus
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Help shape the future of vision–language models for medical imaging to solve real clinical challenges! This doctoral student position offers the chance to explore cutting-edge multimodal AI
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. Research topics include: Development and validation of DORIS data processing and modeling Implementation of improved models for DORIS satellites and ground systems Cross-analysis of DORIS and other geodetic
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the Division of Data Science and Artificial Intelligence . About the research project This PhD project explores multi-agent decision making from the perspective of Markov Decision Processes (MDPs). MDPs are a
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infection models Microbiology assays, protein purification and biochemical assays MS-proteomics analyses and advanced microscopy Supervise master’s and/or PhD students to a certain extent Possibility to
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results through publications, presentations, and workshops. Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level The position is
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We are looking for a highly motivated PhD student with a strong background in materials science, physics, or a related field. The successful candidate will investigate the structure and dynamical
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machine learning and AI for clinical decision support. Develop, train, and validate predictive and explainable models using large-scale clinical registry data. Work closely with clinical collaborators
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to benchmark results, validate models against fabricated amplifier designs, and - very importantly - guide technology development Publish results in leading journals and conferences, and supervise PhD students
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Plasma Physics at Chalmers University of Technology. This position focuses on the study of obscured galaxy evolution, outflows, galaxy interactions, and the growth of supermassive black holes in both