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background who are interested in the interaction of mathematics with fields such as physics, biology, economics, computer science, AI, statistics, and other disciplines. Basic Qualifications: Ph.D. in a
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these efforts, we aim to accelerate the translation of molecular and clinical insights into tools that improve patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a
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visit: https://causalab.sph.harvard.edu/. This role is focused on pregnancy research: To evaluate the effects of treatments in pregnancy we emulate target trials using observational large healthcare
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 19 days ago
» Biology Biological sciences » Biology Medical sciences » Medicine Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application Deadline 8 Oct 2026 - 21:59 (UTC) Country United Kingdom
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About us The Department of Statistical Science at UCL is the longest established university statistics department in the world and has played a pioneering role in the development of the subject
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cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research
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. This PhD project utilizes data from Norwegian linked health registries with advanced statistical methods to generate robust, evidencebased guidance for pregnancy planning among women using GLP-1RAs, with
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programme Reference Number AE2026-0217 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0217
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architecture of complex traits. We develop computational and statistical methods for sequencing studies. We also have projects in cancer genomics and applied human genetics. The lab encompasses a wide range of