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contribute to research on applied machine learning methods that support robust decision-making under uncertainty. This may involve working with structured datasets, panel data, text data, regulatory documents
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under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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cellular targeting and lamella preparation of frozen-hydrated biological specimen on a unique instrument, with the aim of enabling efficient and reproducible structural analysis of molecular complexes in
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of many more complex processes that should harbor a wealth of undiscovered druggable targets. Thus, a large space of potential druggable biology is entirely ignored. We aim to fundamentally revolutionize
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complex functions. By equipping immune cells with new generations of synthetic receptors, we develop and evaluate strategies to enhance their ability to recognize, seek out, and eliminate malignant cells
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advancing both technology and manufacturing readiness levels. These PIC-based solutions are expected to support the transition from complex optical laboratory setups towards more scalable and deployable
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-protein complexes using structural proteomics approaches (cross-linking MS, HDX-MS), AlphaFold-based structural prediction, cryo-EM (through collaborations), and targeted mutagenesis with biochemical
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ambassador to NETL for students interested in careers in the national lab complex Research Project Through the Oak Ridge Institute for Science and Education (ORISE), this posting seeks a faculty collaborator
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learning and deep learning techniques to the biological sciences. The ideal candidate will have expertise in artificial intelligence, with a specific focus on deep learning applications in structural biology
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Lab investigates the structure, dynamics, and regulatory mechanisms of RNA and RNA-protein complexes that maintain genome integrity, mediate innate immunity, and impact human health. Using a combination