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Field
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Intelligence and Security Research Group at the Institute of Security and Global
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the mechanistic dissection of host-pathogen interactions, including the use of genetic screening approaches, is highly desirable. Prior research experience in the fields of autophagy or cell-autonomous immunity
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Job Type/Hours per Week Full Time Hiring Department Biomedical Research Location UT Tyler Health Science Center Required Application Materials A single PDF or Word document containing a resume
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agents, large language models, and artificial intelligence more broadly. The ideal candidate would have prior experience in the design and evaluation of interactive artefacts and have published their work
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 13 hours ago
. Description: Recent years have witnessed an exponential growth in the use and capabilities of artificial intelligence across all areas of science and technology. However, the deployment of artificial
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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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of nursing staff. The sub-project ‘Multimodal Behaviour Analysis and Interaction’ deals with the development and implementation of methods for automatic knowledge extraction, multimodal behaviour analysis and
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. Work description You are expected to explore both software architecture and software design in the era of artificial intelligence, addressing both how AI can support engineering practices (AI4SE) and how
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning