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Do you enjoy: Are you committed to innovative teaching and original research, with a critical perspective? Are you a motivated and highly versatile professional? Then the position of Assistant
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master programmes (max 20 hours per year); • supervising Bachelor and Master thesis projects whose topics are relevant to your project; Your profile You have/are: • a PhD in neuroscience or a
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Literature and Society, the master's programme English Literature in a Visual Culture, and the research master's programme Environmental Humanities. As a lecturer, you will teach courses such as Literary
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of the department. Typical teaching duties involve assisting students during (programming) labs, assessing students work and (co-)supervising BSc and/or MSc graduation projects. In this role you will apply and master
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the consortium and Informatics Institute; assist in teaching activities, such as teaching labs and tutorials or supervising bachelor and master students. What do you have to offer? Your experience and profile: a
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) currently has a vacant PhD position as part of the Artificial Intelligence: Power Asymmetries and Data Justice project led by principal investigators Dr Lonneke van der Velden and Dr Claudio Celis Bueno. ASCA
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Asymmetries and Data Justice project led by principal investigators Dr Lonneke van der Velden and Dr Claudio Celis Bueno. ASCA is one of the five Research Schools within the Amsterdam Institute for Humanities
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
will be responsible for constructing, simulating, and validating computational models of the microbiome in oral and gut regions, as part of the MetaHealth consortium project. The primary aim
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outcomes will be of interest to policymakers, government officials, cloud service providers, and researchers in the field of digital government and artificial intelligence. Research Objectives: The primary
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Requirements You must: have completed a Master in Artificial Intelligence, Computer Science including AI courses, or a related Master programme; have experience with both machine learning and symbolic AI; be