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the functionality of food molecules. Integrate molecular biology, bioinformatics, and protein engineering tools to improve enzyme performance. Design and optimize enzyme-catalyzed reactions for food structure
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Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot intervention for
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School of Medicine. The project will focus on optimization of peptide ligands targeting promising cancer antigens followed by subsequent radiolabeling and pre-clinical validation. The Beinat lab employs
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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development experience GTSAM or similar factor graph optimization frameworks Field robotics deployment in challenging environments Multi-sensor calibration and fusion Commitment to open-source development and
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are available. Appointments cannot exceed five years. KEY RESPONSIBILITIES: Synthesize and optimize CNS-targeted ligands and radiolabeled compounds. Develop PET tracers for neuroreceptors, enzymes
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. Work with NSLS-II automation team and engineering support staff to develop the next generation of robotics and sample preparation protocols for XCFS. Optimize crystallization systems for XCFS campaigns
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optimal for search engines. PDF must not require special certificates or passwords to open. Max file size is 10MB. If you have questions, or have issues uploading documentation, please send an email to DOE
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culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo. University at Buffalo