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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
Are you driven by a desire to delve into the convergence of computational modelling, omics research, and exogenous factors as they relate to human health? Specifically, are you excited about
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. Good theoretic understanding of the fundamentals of Machine Learning. Ability to act independently as well as to collaborate effectively with members of a larger interdisciplinary team, take initiative
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have an opportunity to contribute to the activities of the faculty-wide Groningen Centre for Health and Humanities and the History of Medicine and Health Group of the Centre for Historical Studies
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and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to this is
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Sciences excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life
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of applied mathematics. We stand for life sciences and technology, high tech and human touch, education and research that matter, new technology that leads change and innovation and progress in society. The
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Master’s or Master’s degree in fields related to the project, such as Linguistics, Computational Linguistics, Data and Information Science, Digital Humanities, Human/Social Geography, or Language and Culture
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foundation models has been astonishing in the past few years and allow to equip robots with world knowledge of scenes, objects, and human activities. Robots should then be able to perceive and act upon
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multi-omics datasets (metagenomics, metatranscriptomics, metabolomics); closely collaborate with the GEM-CARE PhD candidate working at the Division of Human Nutrition and Health; present your results
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) to study how new (virtual) technologies may contribute to creating learning opportunities for tourists regarding human-created climate change. There will be a strong focus on developing deep working research