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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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applications, particularly in conjunction with process-based models and remote sensing for agricultural systems. A team-oriented individual who can collaborate effectively and contribute to the success
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ecosystem modeling; downloading and processing projected future climate data; designing field experiments; procuring necessary field and laboratory equipment and supplies; conducting experiments; and
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Description Responsible for modeling and climate-smart farming in beef cattle and bison production using precision livestock farming technologies, specifically greenhouse gas emissions. The program seeks
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premature birth, using a preterm piglet model. Responsibilities In consultation with the PI, designs and executes experiments. Performs statistical analysis of research experiments and results. Supervises and
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. - Ability to multi-task and work cooperatively with others. Preferred Special Knowledge, Skills, and Abilities: - Expertise in biosensors or protein design - Familiarity with genetic model organisms and
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: Expertise in interpreting LC-MS, GC-MS, Raman spectroscopy, and NMR data. Experience in metabolic profiling and quantification of bioactive compounds in plants. Familiarity with computational modeling
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foundation in vadose zone hydrology, irrigation, land-atmosphere interaction, and experience with process-based models, remote sensing, AI/ML applications Other Factors: In order to be considered
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat
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analysis or differential expression analysis For Nutrition-Related Positions : Experience with animal models of diet-induced obesity, metabolic syndrome, or cardiovascular disease and nutritional