16 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Lehigh University
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or recent Ph.D. in applied/computational mathematics, computational science, chemical engineering, or related disciplines. Ideal candidates will have strong past experience in scientific machine learning
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satisfactory performance and availability of funding. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines
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models, molecular modeling and simulations, and/or polymer science are preferred but not required. Strong past experience in scientific machine learning. Terms of Appointment: This is a full-time, one-year
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computer systems • Monitors instrument usage • Trains Students, Post-Doctoral Associates, Faculty, and sometimes outside users on proper instrument usage • Informs instrument users of policies as needed
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, misinformation protocol, and a strategic approach to connecting LLMs, machine learning, AI and the future of university digitally generated content. Create opportunities to share information, web governance
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written communication abilities • Detail-oriented with strong organizational skills • Proficiency with computer systems and willingness to learn library software • Ability to work independently and as part
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strategic research technology initiatives. Qualifications: • Doctorate Degree in Science (Chemistry, Physics, Biology, etc.), Engineering, Computer or Information Sciences, a related field or the equivalent
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system operations and performance • Collaborate with HVAC crew to identify, troubleshoot, and resolve utility problems • Ensure optimal plant performance and energy efficiency • Respond to emergency
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• Build and maintain relationships with employers and recruiters • Design, lead, and expand experiential learning programs (e.g., internships, career treks, employer-based training) that connect students