48 programming-language "Data driven Materials Modeling" Postdoctoral positions at Duke University
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, transforming, and joining tabular data in R and/or SQL. · Proficiency utilizing large language models effectively to aid research is a plus. Experience with agentic programming is a plus. However, these and
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, physiology, eye-tracking, or related wearable measurements. ● Strong statistical analysis skills. ● Strong programming skills in a programming language used for data manipulation and statistical analysis
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. Programming experience in a language such as Python or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals and scientific publications. Strong
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contribute to transformative research initiatives including the SenseToKnow program and collaborate with renowned investigators including Dr. Geraldine Dawson and Dr. Guillermo Sapiro. Your work will help
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academic record and thrive in a collaborative multidisciplinary research environment. The candidate should be able to, and be excited about, working in a varied lab group setting; plan and conduct
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/time management skills, and interest in interdisciplinary collaboration. • Experience in the use of large language models for analyzing text and/or advanced skills involved in analyzing complex
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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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collaboration with clinicians, statisticians, and regulators Excellent verbal and written English communication skills with outstanding organizational and analytical abilities This position is: Onsite. The work
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results to diverse audiences. Fluency in English (written and oral) is required. Excellent scientific writing skills and the ability to organize data and clearly disseminate findings and scientific concepts