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of large and multidimensional datasets High Performance Computing (HPC) Low temperature physics High magnetic field physics Synchrotron and neutron facilities X-ray scattering Compensation and Additional
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to the completion of a beef life cycle assessment for the City Food Policy Project and improving animal growth and performance predictions for grazing livestock by mechanistic nutrition models. Interested
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Statistical and/or machine learning approaches to weather prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration
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to the completion of a beef life cycle assessment for the City Food Policy Project and improving animal growth and performance predictions for grazing livestock by mechanistic nutrition models. Interested
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and multi-agent systems for conservation genomics; perform feature engineering using chromosome-level genome assemblies. 15% Writing: Contribute to scientific manuscripts, progress reports, and
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. The anticipated start date is August 2026. This is a one-year appointment, with the possibility of renewal based on performance. Responsibilities could include: Lead and contribute to Institute research projects
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prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration with industry partners in climate risk assessment
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of reference How to Apply Applications should be submitted through our posting on Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/31958 Applications received by April 30, 2026 will receive best
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to extend for a year, contingent upon available funding, work and successful performance. Requirements Ph.D. in Animal Science, Veterinary Science, Data Science or related field. Experience studying and
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for collaboration, mentorship, and intellectual exchange. Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform