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UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Statistics Apply for this job See advertisement Job description The University of Oslo (UiO), Department
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of GIS, spatial statistics, or other spatially relevant methods. Demonstrated experience applying machine learning and AI-based approaches to empirical disease, ecological, or biological datasets, with
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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy
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to secure long-term project financing. Sector Collaboration: Collaborate closely with partners in the Swedish forest sector to ensure research relevance. Your profile Required: A PhD in Forest Remote Sensing
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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internationally Skills and Qualifications Completed PhD degree in epidemiology, environmental health, statistical science, biology, biochemistry, medical sciences, or related fields Demonstrated expertise in
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Foundation (FAPESP), and combines statistical analysis, spatial methods, and qualitative research. Georeferenced data from the Military Police and the Municipal Secretariat of Urban Security will be used
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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Mathematics and Statistics Regarding the research project, please contact: Professor Aila Särkkä (https://www.chalmers.se/en/persons/aila/ ) Dr. Moritz Schauer (https://www.math.chalmers.se/~smoritz/ ) We look