35 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" Postdoctoral positions at Texas A&M AgriLife
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make a difference in the world! Position Information The selected candidate would assist a team of ecosystem modeling scientists to perform process-based ecosystem models based research and develop
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Description Job Responsibilities: - Develop and validate ant-derived DNA barcoding protocols to detect and identify invasive arthropod pests - Conduct population genetic and genomic analyses (e.g
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experience in either one of those two topics). The data/samples for these projects are “shovel ready” and await a curious researcher to develop high-impact publications that inform and enrich our knowledge
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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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efforts, focusing on training NRCS personnel and other stakeholders. This role involves developing and delivering workshops, webinars, and online courses to facilitate the adoption of climate-smart feeding
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genetic knockouts in yeast and mammalian cell lines, and protein purification. Job Responsibilities: 35%: Computational algorithm development and data analysis 35%: Design and conduct experiments with yeast
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Description Job Responsibilities: -Compile, organize, and synthesize large, multi-year datasets from soil health and crop productivity studies across multiple locations. - Apply advanced statistical and
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. The ultimate goal of the project is to promote positive development among youth through healthy use of social media while minimizing its potential harm. Essential Duties: - Collect, organize, and analyze
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focuses, as it is funded through two different grant opportunities. The 1st focus of this position is to develop habitat management strategies to promote sweetpotato whitefly and western flower thrips
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Postdoctoral Research Associate-Assistant Agriculture Data Center Specialist to support the operation, development, and strategic growth of a state-of-the-art agricultural data center dedicated to advancing data