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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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the application of computer vision and remote sensing techniques to enhance data-driven decision-making, adaptability, and safety within agriculture systems. AI Knowledge for Agriculture: Build LLM and NLP tools
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the application of computer vision and remote sensing techniques to enhance data-driven decision-making, adaptability, and safety within agriculture systems. AI Knowledge for Agriculture: Build LLM and NLP tools
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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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work with 4 PhD candidates across the universities involved, who will be hired for this project. Job requirements PhD in building engineering, meteorology, civil engineering, or related fields
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discussed with the successful candidate depending on their background, expertise and affinities Analysis and publication of results Build a strong network in the field of research Participate in education
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expected to lead the section of the project in relation to provision of functional prime editors: pegRNA design, novel enzymes and variants, also molecular aspects of detecting edits, to make specific
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as well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role: We are seeking a highly motivated and experienced researcher, holding a PhD in
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. This position will focus on designing, optimizing, and implementing chemical biology and sequencing-based approaches to better understand how RNA structure and dynamics influence protein recognition
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how you can be a part of AgriLife and make a difference in the world! Position Information The Postdoctoral Research Associate is responsible for conducting collections-based research focused