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primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data. The exact topic will be chosen in coordination between the successful
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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to the production and exploitation of large simulation ensembles for the assimilation of paleoclimate data over long climate time scales. · Participate in the scientific exploitation of the simulations produced and
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highlighted on this website: https://www.visitpittsburgh.com/media/press-kit/pittsburgh-accolades/ . Please contact the following individual for further information: Chen Zhang, MD, PhD, Professor and Samuel A
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, Oslo. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/291053/phd-research-fellow-in-mathematics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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sciences increases with new mobile and stationary sensors and observation platforms becoming available, the need for processing these large data streams also increases. Such datasets provide exciting new
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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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to apply Website https://academicpositions.com/ad/university-of-basel/2025/phd-position-in-syste… Requirements Research FieldBiological sciencesYears of Research Experience1 - 4 Research FieldBiological
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/ProvinceMazoviaCityWarsawPostal Code02-247StreetFlisa 6Geofield Contact State/Province Mazovia City Warsaw Website https://ibb.edu.pl/en/phd-studies/rekrutacja/ Street ul. Pawińskiego 5a Postal Code 02-106 E-Mail PhDschool
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various data sources, including nationwide registries from Statistics Netherlands and large-scale longitudinal cohort studies, to investigate CHD, MI- and ischemia-related outcomes, intermediates, and risk