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health. Basic science discoveries made using a variety of human and pathogen-derived proteins, designed, expressed and purified by a collaborative DHVI team have contributed to the identification
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Interactions and across the broader St. Jude research community. Candidates are expected to develop increasing scientific independence, including the design and execution of research projects, preparation
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experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds. We are dedicated
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Offer Description We are looking for 5 motivated Doctoral students to help design the next generation of human-in-the-loop autonomous systems at the Division of Interaction Design and Software Engineering
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to translate fundamental mechanistic understanding into broadly applicable strategies for catalyst and electrochemical system optimization. The PhD student will work on the design, characterization, optimization
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mentorship aimed at helping postdocs grow into independent scientific leaders. Postdoctoral Associates will participate in regular lab meetings, broader interactions with the Yale cell biology community, and
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learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 May 2027 - 12:00 (Europe/London) Country China Type of Contract To be defined Job Status Full-time Hours Per Week 40