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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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new £7m EPSRC funded Programme Grant that brings together a team of researchers from the universities of Durham, Leeds and Manchester investigating the formation of Molecular Solid Solutions (MoSS
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research group to study novel aspects of immunometabolism, tumor-immune cell interactions at the primary tumor and systemic sites in pancreatic cancer. Our state-of-the art research program utilizes
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funded by the NOAA Global Ocean Monitoring and Observing (GOMO) program. The primary objective of this role is to undertake a comprehensive investigation to quantify the impact of various ocean
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, analysis, and program support across these focus areas, gaining exposure to federal energy finance, public-private partnerships, and cross-agency collaboration. The U.S. Department of Energy’s Office of
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output in high-level peer-reviewed scientific journals. Your profile You must hold a PhD in Physics, Chemistry, Material Science, Computational Science, or similar. A high level of motivation to work in
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precision in a broad range of applications from enhanced microscopy, spectroscopy, and communications to quantum computing and sensing. Students—undergraduate, Master’s and PhD—are involved in all aspects
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Apply now Job no:536170 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Computer and Information Science, Data Science Department: CAS Department of Data
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D