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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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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural language
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institutions of their disciplines. German candidates are expected to opt for research facilities abroad. Austrian and Swiss scientists are only eligible for support if they apply at a host institution in Germany
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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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modeling. The work will focus on application of state-of-the-art Data Mining/Natural Language Processing techniques for information from published literature, development of classical machine-learning models
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. We seek candidates that hold a doctoral degree in environmental social or natural science, for example in geography, political ecology, sociology, ecology, fisheries biology, oceanography, natural