15 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Lehigh University
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appointment is for one year, renewable for a second year pending satisfactory performance and availability of funding. Research topics of interest include numerical methods for scientific machine learning and
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candidates will have strong past experience in scientific machine learning. Experiences in large language models, molecular modeling and simulations, and/or polymer science are preferred but not required
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on interdisciplinarity and project-based and experiential learning. Additionally, this role offers opportunities to explore the role of generative AI in scientific research. In addition to providing comprehensive
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boilers and centrifugal chillers • Boiler, and cooling tower chemical testing, treatment, and inventory • Legibly record parameters of operating plant equipment • Maintain computer log of plant operations
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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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or GED required • Three to five years of related work experience (less experienced applicants may be considered if accompanied by higher, relevant education) • Strong computer skills with experience using
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• Five to eight years’ experience required (Three to five years’ experience may be considered if accompanied by the preferred education level) • Excellent computer skills with experience using word
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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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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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, 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