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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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precise, customized fertilizer recommendations. Selection criteria (short) Required PhD (awarded or defended before start) in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or
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: Immediate Required Level: PhD in Cell Biology, Biotechnology, Biochemistry, or a related field Main Responsibilities: We are seeking a motivated postdoctoral researcher to join our research team as part of
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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network optimization for 6G/FutureG wireless networks especially on the Internet of Intelligent Things under the supervision of Dr. Lingjia Liu (https://lingjialiu.ece.vt.edu). Successful candidates will
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optimization; physical tag design compatible with its installation requirements (the leg of a bird); prototype tag building; and development of a simple server side system for data aggregation. Documenting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
health disparities/drivers or in cancer, and a PhD, MD, or equivalent degree in behavioral science, epidemiology, nutrition, public health, or a related field. The CHDP offers training to: recent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
health disparities/drivers or in cancer, and a PhD, MD, or equivalent degree in behavioral science, epidemiology, nutrition, public health, or a related field. The CHDP offers training to: recent
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manipulation for high-performance SWIR and exploratory room-temperature MWIR detection. Candidates should hold a PhD in chemistry, materials science, electrical engineering, applied physics, or a related field