115 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" research jobs at Cornell University
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events. CPC offers an exciting intellectual environment for postdoctoral training in demography, with over 200 affiliated faculty, graduate students, and postdocs. See http://www.cpc.cornell.edu/ for more
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Ecological Sciences Environmental Health Geochemistry Geological Sciences Biostatistics, Statistics, Computer Science, Public Health, Data Science Geothermal Energy Hydroclimate Wildlife Health Appl Deadline
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requires a scientist with experience in fisheries and hydroacoustics surveys. The individual will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes
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. This information will be used to develop risk assessment models for mitigating insecticide resistance. This position will require collaboration with other entomologists, plant breeders, extension educators
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activities and events. CPC offers an exciting intellectual environment for postdoctoral training in demography, with over 200 affiliated faculty, graduate students, and postdocs. See http://www.cpc.cornell.edu
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seeking an exceptional Postdoctoral Associate to conduct research in digitally knit robotic textile interfaces for edema rehabilitation .The Postdoc will work closely with Prof. Dr. Cindy-Hsin-Liu Kao
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the lab. Hiring rate for this position is $64,723. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30571 Qualified candidates should submit a short cover letter
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for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
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physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, quantum information. While this fellowship targets theorists
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Cornell Tech in New York City. The goal of the program is to support groundbreaking research to develop the foundations of artificial intelligence, machine learning, computer vision, natural