20 parallel-programming-"Uppsala-University" Postdoctoral positions at University of Florida in United States
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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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, unique research programs. Applicants with experience working with demographics are preferred. Applicants are encouraged to show strong problem solving skills and creativity. Must have PhD in Astronomy
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science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep
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hiking, biking, and nature photography. UF’s large college sports programs, museums, and performing arts center support a range of activities and cultural events for residents to enjoy. Alachua County
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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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extensive nearby parks and recreational areas afford year-round outdoor activities, including hiking, biking, and nature photography. UF’s large college sports programs, museums, and performing arts center
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dynamic and team-oriented research program. Successful candidates will work in a cutting-edge research environment with new state-of-the-art facilities. The laboratory has outstanding facilities for cell
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Required Qualifications: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming
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: Ph.D. in Geography, Geology, Oceanography, Coastal Engineering, Earth Science, Computer Science, or a closely related field Strong programming skills in Python (preferred), Matlab, or R Demonstrated
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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