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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in the School’s Strategic Plan (https
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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numerical optimization with applications to data science; statistical applications to biomedical problems and precision medicine. Applicants should apply using: Interfolio https://apply.interfolio.com/184147
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be responsible for conducting and optimizing chemical synthesis activities targeting specific proteins. Mandatory requirements - PhD in a field related to organic chemistry or biological chemistry
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https://link.springer.com/article/10.1186/s13059-024-03309-4 https://www.cell.com/cell
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for more details https://www.pepr-diadem.fr/projet/ai-mahc-2/ ). The Postdoc will work in tandem with a PhD student and will benefit from the PEPR DIADEM infrastructure, including advanced platforms, as
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Link https://www.ubjobs.buffalo.edu/postings/63868 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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FutureFoodS project SpeedyFermHub – which aims to support the development, optimization and scale-up of fermented plant-based food prototypes. Within the project, the Department of Management at Aarhus
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research, please visit: pokrzywalab.com KEY RESPONSIBILITIES: Design, perform, and optimize experiments in molecular biology, biochemistry, cell biology, and proteomics to investigate ubiquitin and SUMO