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Field
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
accelerate scientific discovery in strategic energy research. As a postdoctoral researcher, you will investigate rich real-time and historical operational data, to explore a predictive digital twin
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the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical
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focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
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controlled perturbation of CNS pathways with simultaneous, quantitative immune readouts. A particular focus is encouraged on brainstem-mediated neuroimmune regulation, particularly circuits involving
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controlled trial evaluating self-help interventions for parenting couples experiencing conflict or relationship distress. The trial compares the online OurRelationship program, couple-focused bibliotherapy
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, greenhouse, controlled-environment, and field experiments evaluating seed coating integrity, delivery characteristics of plant defense signaling compounds, and interactions with seed pathogens and early-season
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at the University of Utah (https://www.boschlab.com/) invites applications for a computational post-doctoral position to support projects related to biomolecular interaction prediction using AI tools. The Bosch Lab
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per week. The appointment is initially for one year, with the expectation of a longer-term collaboration and the possibility of renewal. Dr. Fonseca’s research focuses on identifying early predictive