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Field
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testing experience can be valuable. Statistics and Mathematics: Machine learning (supervised and unsupervised) methodology and evaluation including discrimination vs. calibration measures and (hyper
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integrity in the design process calls for a technical model of the product concept, i.e., mathematical models of the product and its in-service environment, which inevitably must incorporate the influence
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, applied mathematics and computational sciences with a strong focus on computational humanities research. The project leverages an extensive dataset of digitized books, newspapers, and visual artworks
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. Some of the scientific questions that motivate our work are How do different regions of the brain interact to learn new motor skills? What are the neural mechanisms underlying optimal performance in
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on the candidate's academic and professional background. MENTORSHIP Engage with experts and mentors to learn the optimal strategies for product development, choosing the right business model, implementing effective
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postdoctoral researcher will leverage state-of-the-art protein language models (PLMs) and advanced AI-based structural modeling techniques to design and optimize T and B cell receptors (TCRs and BCRs). The work
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analytics in the areas of health care, social issues, text, and social media, and faculty members have developed key methodologies in data mining, social-network analysis and mathematical optimization
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publication record in predictive machine learning/analytics. Desirable Qualifications: Expertise in reinforcement learning and/or federated learning. Expertise in prescriptive analytics (mathematical
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides