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Field
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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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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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modelling” You can apply via this link: https://jobs.idlab.ugent.be/en/ph-d-multi-electrode-array-based-mechanistic-neural-modelling Selected candidates will be contacted for an interview (remote interview
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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generation of computer scientists for success. For more information, please visit https://www.csc.ncsu.edu/ Wolfpack Perks and Benefits As a Pack member, you belong here, and can enjoy exclusive perks
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/user support across both programs. Responsibilities Support an active user community, including in-person and remote users from NSF, NIH, Industry and Academia, who are engaged in employing x-ray
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and Experience Requirements A Ph.D. with an emphasis on remote sensing. Required Qualifications, Competencies, and Experience Required Qualifications for Remote Sensing Post-doc: 1. A PhD degree with an
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performance. The position can be performed remotely from within New York State and requires extensive travel (approximately 40% of time), including overnight stays throughout New York State. The travel will
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment