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and ethical guidelines. About you Successful applicants will have: a PhD (or near completion) in computer science, statistics, engineering, or a physical, environmental or life science discipline
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. The PhD candidate, funded by the UKHSA, will work with the IID3 study team and the UKHSA using study data. The aim is to understand how laboratory methods can affect the detection of pathogens and how
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, and validate machine learning and statistical models for health risk prediction; Analyse heterogeneous health-related datasets, including clinical, longitudinal, environmental, demographic
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needed, and helping select the learner cohort. Support will be provided by the certificate program’s administrator. The position is renewable depending on performance and funding. Qualifications PhD in a
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, Territorial Planning and Management, Economic Geography, and related fields; experience in the construction, development, and interpretation of databases; use of statistical software; analysis of agent networks
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to the start of employment. Also, a current TB test will be required as a condition of employment. EEO/AA/M/F/Vets/Disabled. Minimum Qualifications Applicants should have an MS or PhD in computational biology
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spatial and temporal resolution. Build a system modeling framework to evaluate the deliverability of large-load projects, including interconnection, capacity, and infrastructure constraints. Design, build
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skills and experience: a PhD (or be close to completion) in Remote Sensing, Computer Vision, Forestry, Geomatics, Machine Learning, Spatial Statistics, or a closely related discipline demonstrated research
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 00:00 (Pacific/Saipan) Country Germany Type of Contract Temporary Job Status Full-time
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position