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Field
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of detecting and characterizing interference/jamming events; as well as mitigation techniques involving multi-antenna signal processing (direction of arrival estimation, nulling, beam-steering, etc) and/or
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for participant engagement in long-term implanted brain computer interface trials and participate fully in the lab’s activities across campus. This position requires a doctoral-level degree in a relevant field
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
operators for fire observations for atmospheric data assimilation Implement ensemble methods in the fire emissions estimation and estimate uncertainties Utilize bi-phasic FRP retrievals for dynamic
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/ ) – an European network of excellence in AI, Machine Learning (ML) and Computer Vision (CV), of which Vittorio is a Fellow member. For this particular position, the focus is on investigating AI approaches
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Description: Apply Position Description The Duke Quantum Center is seeking a Postdoctoral Researcher to work on ion trap quantum computer and quantum network projects, supporting/advancing research in quantum
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estimation of adverse Zika outcomes while addressing measurement biases. We aim at generating evidence to inform public policy, healthcare providers and pregnant individuals, improving prevention during
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. To this end, we will employ advanced molecular, cellular, and systems biology methods and tools, as well as various research models—from standard cell lines to primary lines and several mouse models
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines