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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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traps, statistical analysis of animal behavior, and GIS/geospatial analysis. The task of the new team member will be to capture and radio collar foxes and coyotes in and around the Twin Cities Metro Area
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes
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this position will be to work independently and as part of a team in the daily function of the laboratory. The successful candidate will plan, coordinate, and participate in all aspects of the research project
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of biological systems, soft matter, or statistical physics. The positions will commence in January 2025, and we will begin reviewing applications immediately. We will continue accepting applications until all
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD. Doctorate-level degree (or foreign equivalent) in a field relevant to human brain imaging
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g