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and extracting biological insights. You have experience with advanced computational and statistical approaches, ideally including machine learning and/or artificial intelligence. Prior experience with
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modeling, machine learning, reduced-order techniques, and computational fluid dynamics. The project will deliver the next generation of predictive tools for the design and optimization of low
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diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation, evidence-based policymaking, science-policy communication, and policy brief writing
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datasets and extracting biological insights. You have experience with advanced computational and statistical approaches, ideally including machine learning and/or artificial intelligence. Prior
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candidate will join an interdisciplinary cohort of doctoral researchers and benefit from ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and
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intelligence, machine learning, and digital forensics. The successful candidate will join a research initiative conducted in close collaboration with a partner, with the aim of strengthening digital
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Manager (f/m/d) 1571/2026/9 Bonn Data Scientist - Clinical Machine Learning & Flow Cytometry Memphis, Tennessee Research Scientist in AI for Healthcare Suzhou, Jiangsu (CN)
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machine-learning optimization to reach broadband absorption are targeted. Secondments include 3 months at JCMWave for industry exposure and 6 months at TU/e (H. Caglayan) for nanofabrication and