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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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available in the laboratories of Prof. Ross Wang (Department of Chemistry) and Prof. Vincenzo Carnevale (Department of Biology). The joint position expects the candidate to pursue protein engineering and
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational
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female and underrepresented minority candidates. Please include in your application a cover letter, curriculum vitae, and contact information for three references to Prof. Ramakrishna Mukkamala (rmukkamala
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computational chemistry and biochemistry studies as directed by Prof. William Goddard within the Materials and Process Simulation Center in the Division of Chemistry and Chemical Engineering Essential Job Duties
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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday to Friday, 9 am – 5 pm. VP Area U of U Health - Academics Department 00870 - Ophthalmology-Research Location
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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of ne computational chemistry algorithms in efficient computer codes • Demonstrated ability to approach complex problems creatively • Experience and/or interest in mentoring undergraduate
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of peptide design and chemistry, computational methods (machine learning, deep learning, genetic algorithms), microbiology, synthetic biology, and related areas essential to developing novel