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intellectually stimulating community. Fellows teach one small seminar during their fellowship year appropriate for graduate students and advanced undergraduates. Though courses are designed to fit the focal theme
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: https://medicine.iu.edu/biostatistics. The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine is the country’s second largest
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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national and international public health policy. For more information, visit our GitHub page at https://ceph-lab.github.io . Located on the flagship campus of the Indiana University System, IU School
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graduate students), and 700+ full-time faculty. The University recently received recognition as an R1 by the Carnegie Classification of Institutions of Higher Education. Position Summary We are looking
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Postdoctoral Fellow (two open positions) in the High Energy Neutrino Group in the School of Physics.
contribute to collaboration-wide projects, including mentoring students and junior researchers. • Excellent written and oral communication skills, with a strong record of publications in peer-reviewed journals
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opportunity to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to overall lab
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University of Northern British Columbia | Prince George North, British Columbia | Canada | about 2 months ago
. In the Dakelh language, UNBC’s motto ‘En Cha Huná translates to “they also live” and means respect for all living things. Through the respect for all living things, we are able to grow and learn better
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, Entrepreneurship, Environmental Justice, or Economics from a Black Studies perspective. Appointment and Responsibilities Each BHIM fellow will: Teach two courses per academic year in AAADS; Contribute actively
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven