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bring together a diverse team of researchers with backgrounds in geology, genetics, ecology, evolutionary biology, computer science, statistics, and more. Importantly, the centers also host the cutting-edge
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The Department of Clinical Medicine at the Faculty of Health, Aarhus University, invites applications for a position as a Research Assistant ("videnskabelig assistent") in the field of Cognitive
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of sensory tools that can help to ensure high quality of new food products. You will be employed in the Research Group Bioactives – Analysis and Application, which has research in chemical and sensory quality
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. The research will build upon previous studies, published by our research group (Glarou et al., 2020; Wilms et al., 2021; Flavio et al., 2023; Casabona et al., 2024). Tasks associated with the PhD studies include
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probabilistic machine learning project with applications in bioscience. As part of the project, you will be involved in Conducting original research in probabilistic machine learning, within the topics mentioned
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data analysis and statistical tools Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct world-class research
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data analysis and statistical tools Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct world-class research
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statistics. This position will be placed under Research Thrust 2 which mainly involves mathematical physics. Requirements: The applicants must have documented strong qualifications in functional and spectral
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3
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Mc-Kinney Moller Institute. AID collaborates with leading universities and industry partners across Denmark, Europe, and the United States, driving innovation in artificial intelligence, statistical