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Field
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. Proficiency in Python and/or machine learning applications for data analysis. Ability to work independently and manage multiple research activities. Experience contributing to academic publications and
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primarily involves leading independent neuroimaging analyses and developing innovative analytical approaches to address the scientific aims of the lab. Multiple datasets are already available in the lab
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responsibilities. Responsibilities: The postdoc will work on integrating multiple observational data streams for real-time and retrospective analysis of geophysical and environmental hazards. This includes
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knowledge of models of strongly correlated electron systems. Proficiency with scripting or programmatic languages, such as Python, c, and MATLAB. Excellent written and oral communication skills. Motivated
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languages, such as Python, Igor, and labview. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative
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the scientific literature, participate in scientific discussions with other members of the lab and department, and attend mandatory lab meetings. Works on multiple aspects of research projects to develop skills as
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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to understand how striated muscle is regulated during health, disease and stress-response contexts. The successful candidate will lead computational lab analysis work across multiple projects, largely focussing
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of biodiversity represent three of today’s major societal challenges. Finding solutions for all these challenges requires studies that extend across multiple scales. The Pioneer Center Land-CRAFT was established in
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) understand how early pathological events in AD give rise to inter-individual heterogeneity in disease expression. The project will involve integration of multiple large, longitudinal neuroimaging datasets