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Field
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. Development of DT information modelling, data fusion, and forecasting guidelines and standards, and technology maturity benchmarks to derive cloud platform maturity level standards. Lead on the development
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer
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information, see https://growthandyield.ca.Applicants must demonstrate- Strong interest in forest science and remote sensing- Strong written communication and data science skills- Relevant prior M.Sc. with
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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Job Advertisement HKI-32/2025 The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/ ) investigates the pathobiology of human
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for a Doctoral Researcher in
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience