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highly desirable. Experience with computational methods such as density functional theory calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage
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computer engineering degrees with previous experience in natural language processing; or computational linguistics/language technologies degrees; (b) strong programming skills and machine learning experience
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, with a strong experimental research background. Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer
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design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI
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Posted on Fri, 06/26/2026 - 12:27 Important Info Faculty Sponsor First name: Ruben Faculty Sponsor Last Name: Colman Stanford Departments and Centers: Pediatrics, Gastroenterology, Hepatology, and
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assigned. 2. Prepares research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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School invites applications for a Lead Researcher for the AURORA seizmic KIC project: AI Enabled Mentoring for Social Entrepreneurial Action, a two-year EIT HEI initiative connecting social
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calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage. The candidate should have excellent written and oral communication skills, strong organizational ability