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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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Populations research team, working under the supervision of Professor Kylie Lee. You will contribute to innovative research focused on addressing alcohol-related harms in Australia, with an emphasis
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received within the past five years. Strongly preferred skills: Experience with mathematical modeling of biological systems Experience with population modeling, disease modeling, or similar ecological
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Science and Mathematical Modelling, and Stellenbosch University’s Mathematical Modelling group in South Africa. This cross-continental partnership, based in the UK with mobility to South Africa, fosters
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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available for passionate and early career Researcher to join our team within the College of Science and Engineering as a Postdoctoral Research Fellow, Population Genomics. Full-time; fixed term to July 2027
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to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
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-world deployment in ambient intelligence and clinical informatics. Publish in top-tier conferences and journals (e.g., NeurIPS, ICML, MLSys, IEEE TPAMI, JBHI). Job Requirements: Preferably PhD in Computer