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Proficient in platforms/tools/languages such as Python, Matlab, QGIS, Google Earth Engine, version-control, C++ processing large datasets Preferred Qualifications: Experience with transdisciplinary work in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning, artificial intelligence, natural language
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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: College of Arts and Sciences: NATURAL SCIENCES DIVISION: Speech & Hearing Sciences Location Seattle, WA (primary) Riverside, CA (secondary) Start Date June 1, 2024 Description The University of Washington’s
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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system, natural language processing, and cognitive science. Specifically, the position is for the newly funded project iCODE: Adaptive Training of Students’ Code Comprehension Processes whose goal is to
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in