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Assistance Program • Wellbeing Program Original Posting Date: August 7, 2025 Posting Close Date: August 24, 2025 Job Requisition Number: R17573
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost
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Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Applications must be submitted online. To be considered
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Conservation Biology, or equivalent degree Preferred Education: Ph.D. in Ecology and Conservation Biology, Preferred Experience: Experience with R programming, statistical analysis of coastal datasets
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Familiarity with optical design, image processing, or instrument prototyping. Programming skills in MATLAB, Python, or LabVIEW
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spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost
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equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed action. 7. May receive general
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Program. The research activities will focus on climate-driven input, transport, and fate of plastic debris in the Lake Ontario watershed and nearshore region. Job Responsibilities Applicants must hold a PhD
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data