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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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development, preparation of briefing materials, documentation of decisions, action tracking, and follow-up. Strategic Reporting and Analysis: Prepare, analyse, and consolidate management reports, presentations
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Fellowship Description Postdoctoral Fellowship in Quantitative Biology The Department of Mathematics at Dartmouth College invites applications for a full-time residential postdoctoral appointment
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(ML), to help solve complex agricultural problems that also depend on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis
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for medical imaging, precision medicine, statistical genomics, graphical models, and the analysis and integration of complex, high-dimensional biomedical data. The fellow will be expected to develop novel
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in machine learning, systems modeling, optimization, or analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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the genetic basis of complex diseases. Our research sits at the intersection of population genetics, statistical genetics, and evolutionary disease genetics, with a particular emphasis on leveraging
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evaluation, performance measurement, portfolio analysis, evidence-informed decision support, enterprise-level public health planning, multidisciplinary collaboration, and the translation of complex technical
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy