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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
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Postdoctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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simulations. (5) Interacting with other team members on industry-sponsored projects involving combustion, turbulence, multiphase flow, machine learning and artificial intelligence, algorithm development and
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and networking, with a particular focus on 5G and Beyond 5G technologies and applications of artificial intelligence and machine learning to wireless systems. The candidate will oversee the design and
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
, and artificial intelligence, and we conduct experiments with both healthy volunteers and clinical patients (PTSD, substance use disorders, mTBI). UNCW postdoctoral scholars gain important training and
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-funded research project. The goal of the research is to discover how collectives can be made more creative, intelligent and when they can select the rules governing their interactions. The focus
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are required. Strong written and oral communication skills and ability to work both independently and collaboratively as part of a multidisciplinary research team are required. Knowledge of artificial