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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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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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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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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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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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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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study of natural isotope distributions. Coordinate experiments to study, investigate, test, and/or resolve scientific problems. Partner with research groups across disciplines (i.e., geochemistry, geology
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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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information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ). Contact: Jung, Andreas (anjung@purdue.edu ) Letters of Reference should be sent to: anjung@purdue.edu Apply now Posting