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Field
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours 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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-motivation and ability to work on projects independently; proven ability to handle multiple projects concurrently and meet deadlines; and demonstrated proficiency in Python and willingness to contribute
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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural
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, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work
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development background with programming experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing
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engage across multiple projects and research applications. Experience in the following areas is a preferred and will help the candidate succeed: Li-ion batteries, materials characterization, critical
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, using R or Python; experience with these datasets is helpful but not required Preparing statistical reports and presentations Presenting findings at regional or national scientific meetings Mentoring
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research across multiple departments at MIT. The appointment is for one year starting Summer 2026 (flexible start date), with the possibility of renewal for a second year. The Postdoctoral Associate should
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out assignments within given parameters. - Strong attention to detail -Ability to handle multiple responsibilities at one time, successfully prioritize tasks and meet deadlines. -Ability to multi task
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responsibilities for this role include: Initiating, planning, and overseeing research projects Leading the analysis of complex multiomics data, including single-cell and spatial omics, using R or Python; experience