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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 1 day ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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Are you a MSc graduate with background in data science, computer science, biostatistics, bioinformatics or a related field? Do you have a solid foundation in machine learning? Are you passionate
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21 Aug 2026 Job Information Organisation/Company The Swedish University of Agricultural Sciences Research Field Technology Researcher Profile First Stage Researcher (R1) Application Deadline 25 Sep
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Halvor Mykleby/INN 5th October 2026 Languages English English English Join INN University for a PhD in Forest Sciences PhD Position in Forest Sciences Apply for this job See advertisement About the
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the public for admission to the PhD programme in Kinesiology and Sport Sciences, academic year 2026-2027. The PhD programme officially begin on 1st October 2026 and last at least three years. To apply
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to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee
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a doctorate in artificial intelligence, medical informatics, and precision oncology? Then join the xMDT-HPB project at the Institute for AI and Informatics in Medicine (AIIM), a pioneering research
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minimum eligibility criteria for admission. In addition to the minimum eligibility criteria, the candidate should possess the below desirable criteria: - Background in computer science, AI, bioinformatics
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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sites, highly engineered geological repositories or in the marine environment. However, redox controls on porewater chemistry in these environments is poorly understood and requires robust datasets