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analytics. This PhD project focuses on methods development to support pharmacovigilance using real-world data (RWD). You will define, implement, benchmark, and validate workflows for reliable detection and
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modelling. You will help develop reproducible, transparent and FAIR data products for downstream GIS-based land-suitability assessment, modelling and decision-support tools. You will have: A PhD, or be near
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undergraduate to PhD levels. With faculty leading pioneering research that drives innovation in data science, analytics, and applied statistics, SDSA addresses critical business and societal challenges through
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methods Evidence of peer-reviewed publications Experience of working in multi-disciplinary research teams Ability to communicate complex information clearly High level analytical capability Fluency in
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weekend and/or after normal hours. May travel as required. Qualifications Required Education and Experience: PhD in a related field. No required experience. A Well-Qualified Candidate Will Also Possess
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Data Science for Biomedical Imaging
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20 Jul 2026 Job Information Organisation/Company Łukasiewicz Research Network - Krakow Institute of Technology Department HR Research Field Other Researcher Profile First Stage Researcher (R1
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located at 1000 Chastain Road NW, Kennesaw, GA 30144. Our Marietta campus is located at 1100 South Marietta Parkway, Marietta, GA 30060. Department Information The School of Data Science and Analytics
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be offered an indefinite contract. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Health Data Science
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PhD investigator at the rank of assistant professor or above who has training in data science that is applicable to trauma, surgical critical care, and/or health care disparities research