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and co-editing research vision and policy documents The post holder will engage in developing and leading research projects contributing to IDAI's interlocking thematic networks, supporting a
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collaboration with laboratories computational biologists. Lead independent research projects and contribute to collaborative efforts within the lab. Present findings in manuscripts, conferences, and funding
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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22 Aug 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Finland
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Call for proposals The NOMIS Foundation and the Institute of Science and Technology Austria (ISTA) have launched an interdisciplinary basic research program for exceptional postdoctoral scientists
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
on developing new methods, whether experimental, analytical, or computational. The Experimental Petrology group at RSES is a world-leader in high pressure experimental petrology and the application of cutting
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the basis of a federated global compute and science support infrastructure. The Australian SKA Regional Centre (AusSRC) is Australia’s portion of this international network, tasked with establishing and
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-time for 3 years. The successful candidate will have experience with cancer drug development, handling computational biology, proteomic and transcriptomic data, working with patient and animal-derived
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds
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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference