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by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Data Science
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study strand displacement technology in more complex, hybrid environments to demonstrate predictive models that can account for these more complex settings. Using molecular-level simulations, basic theory
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 7 days ago
Environmental Research, for the exercise of research activities in the project, according to the following conditions: Scientific area: Biological Sciences, Food Sciences, Food Technologies, Food Engineering or
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10 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Information Security and Communication Technology Research Field
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Professor position in Molecular, Cellular, and Developmental Biology within the College of Science and Technology, beginning May 01, 2026. We are seeking someone to lead research projects investigating
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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of an international call for recruitment for one PhD researcher, for a period of 10 working days, within the Project 2023.17511.ICDT – BTNature, funded by the Foundation for Science and Technology. 1. Main research
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Infrastructure? No Offer Description New University of Lisbon NOVA School of Science and Technology Notice no. 4010/2026/2 published in Diário da República, 2nd series, no. 38, 24/02/2026 Deadline: 17/03/2026
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly
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Asia (SEA), focusing on Manila (Philippines) and Ho Chi Minh City (Vietnam). This position will be based at the School of Engineering at Newcastle University, focusing on developing models to predict AMR