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, or modeling using tools such as Python, R, GIS, or similar computational platforms. Demonstrated ability to collaborate across disciplines and translate technical and social science insights into scholarly
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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of project results analyse climate-induced changes on arctic tundra and related fire regimes by conducting factorial experiments using multiple climate-change scenarios. Requirements: a PhD in biophysical
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computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 43 minutes ago
) working groups) to investigate how symbology behaves under multiple overlapping data layers, varying background conditions, and operational display constraints, and to translate these findings
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highly multidisciplinary, looking at infectious diseases through multiple perspectives, multiple scales and multiple data streams. We work closely with a network of collaborators and public health agencies
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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent
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to multiple large-scale data platforms. More information about recent research, including work on preventive interventions for Long COVID, is available at https://butzindozier.com (link is external) Required
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, you will work with advanced 3D in vitro models of fibrosis and metabolic disease, using multiple primary and immortalized human cell lines. Your research will focus on identifying molecular mechanisms
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the dynamics of psychiatric symptoms and brain function. The postdoctoral scholar will have opportunities to work with multiple complementary datasets, including large-scale developmental neuroimaging cohorts