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Field
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be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With proven
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and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal
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Models (LLMs) to create the methodological foundation for next-generation AI systems that clinicians can truly understand and trust. All components will be released as open-source software and reusable
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isotopic data, geochemical software packages and coding e.g. in python, R, Matlab etc. Additional Information Eligibility criteria Mandatory: *PhD in geology, geochemistry or analytical chemistry. *2/3 years
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
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FieldPsychological sciences » PsychologyYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in neuroscience, computational neuroscience, signal processing, biomedical computing, applied
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: Suitability of the CV for the job (maximum 50) PhD in the specific research field (maximum 15) Motivation letter (maximum 15) Experience in the research field (maximum 20 Selection process A specific committee
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential
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journals; contributing to open-software sensor/control modules, and collaborating with the partner labs. Where to apply E-mail stephane.viollet@cnrs.fr Requirements Research FieldEngineeringEducation
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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models