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Field
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arising from finite fields, projective and polar spaces, and related structures. Apply computational methods (e.g. Magma, GAP, SageMath, Python) to test conjectures and explore new mathematical directions
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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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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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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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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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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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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 13 hours ago
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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-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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benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible