17 computer-science-programming-languages-"Aarhus-University" Postdoctoral positions at University of Florida
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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with multiple stakeholders, including informatics experts, clinicians, basic scientists, and
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knowledge (R, Python, or other programming languages) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
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-PIs experts in network science (Dr. Christopher McCarty), corpus linguistics (Dr. Stefanie Wulff), computational linguistics (Dr. Zoey Liu), and Spanish Linguistics (Dr. Diego Pascual y Cabo) beginning
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appropriate area and eight years of relevant experience. Job Description: Prestigious Fellowships and Awards Program Coordination and Advising Serves as the Graduate School’s lead coordinator for prestigious
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Classification Title: Postdoctoral Associate Job Description: The University Writing Program at the University of Florida, College of Liberal Arts and Sciences, invites applications for the position
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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Astronomy, Astrophysics, Physics, or Computer Science by the date of appointment. This position will be initially awarded for one year. UF is the state’s oldest, largest, and most comprehensive land grant
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Association (CPA) - approved graduate program in Clinical or Counseling Psychology, as well as completed an APA- or CPA-approved internship in a specialty area related to health and illness. Training
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Agricultural Experiment Station , the Florida Cooperative Extension Service , the College of Veterinary Medicine , the Florida Sea Grant program, and encompasses 16 on-campus academic departments and schools
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability