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, the Instructional Faculty will teach cross-divisional quantitative courses for students with a background in bioscience, bioengineering, and engineering. Annual student cohorts may reach up to 100 students, and the
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Accountabilities: Assistants contribute to a range of projects that support the Digital Learning & Media Center and Creative Technologies endeavors. Responsibilities may include: Testing newly installed software and
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: Commensurate with education and experience. Benefits Provided: Contract Required Attachments: Resume, Cover Letter Job Description --- Deploys training curriculum through various learning modalities including
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 19/3/2026 Closing Application Date 26/3/2026 OLFM Type Temporary Teaching
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 19/3/2026 Closing Application Date 26/3/2026 OLFM Type Teaching Allocation
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 19/3/2026 Closing Application Date 26/3/2026 OLFM Type Regular Continuous
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position In this role your responsibility is
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of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation
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benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https