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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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; environmental science; statistics; mathematics; data science; data visualization; documentation; records management; complex problem solving; critical thinking; resource management; communication; community
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of tolerance, neutrality, and civic inclusion? How is argumentation in favor of secularism (not) loaded with political theological meaning? To what extent do public debates (not) exhibit qualities of rational
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 1.5 years with a
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of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH
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appointment) in a relevant field, such as geodynamics, seismology, geophysics, or computational science. Ability to sit for extended periods (e.g., 6–8 hours/day). Visual acuity to read computer screens and
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implementing ecological fieldwork, Strong analytical skills to synthesise complex data, Excellent written, verbal and visual communication skills, including the ability to communicate effectively with a wide
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amplified religious sounds. Three dimensions are particularly relevant here: Music and music instruments. How do mantric practices share a sonic ideology that is common to genres of sacred sound like zikr
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This particular position will be associated with the professorships held by Prof. Dr. Markus Krajewski and Prof. Dr. Ranjodh Singh Dhaliwal. The prerequisite is a doctorate (by the time of appointment) in media
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred