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-performance computing resources and close interaction with experimental materials scientists. CENSEMAT and the TU Wien research group value scientific curiosity, openness, constructive teamwork and a healthy
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of learning outcomes, student satisfaction, workload, and system interactions. You will become part of an academically stimulating project environment and gain hands-on experience with the use of AI and data
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pressing scientific challenges of our time: understanding how biodiversity is changing in response to multiple, interacting global change drivers. The project will combine cutting-edge analyses of large
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original ethnographic field research on the intersection of cattle and human-wildlife interactions, infrastructural expansion, and cultural and natural heritage of Kalahari landscapes in Botswana. Develop
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epigenetic regulation in development. An interdisciplinary environment with opportunities for collaboration across experimental and computational life sciences within MBG and the broader Aarhus University
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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader
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research-based teaching of the highest quality and is responsible for a large part of the medical degree program. Academic staff contribute to the teaching. English is the preferred language in
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the mechanisms underlying durable viral control, with particular emphasis on antibody-mediated enhancement of T-cell immunity, Fc-dependent immune activation, and host-pathogen interactions. Beyond HIV, the group
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to the organisation of academic conferences, as well as a range of outreach and knowledge dissemination activities, including the ABIS project teacher education program Department of Philosophy and History of Ideas
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one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm