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Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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Description The Applied Interactive Multimedia laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the
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monitoring protocols, data-platform or GIS experience, and familiarity with applied science frameworks such as the Global Coral Reef Monitoring Network (GCRMN) or the IUCN Red List of Ecosystems. If you have
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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, clustering, neural networks) for spectral interpretation, segmentation, and material identification. • Create and curate a dedicated HSI spectral library for cultural heritage materials, linking reference
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to study corporate climate action and its potential to catalyze social tipping points (i.e., nonlinear shifts in societal norms, policy, technology uptake, and consumer behavior) that will accelerate climate
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to hearing disorders resulting from acoustic overexposures (i.e. noise trauma). This position offers a unique opportunity to be part of a collaborative research network spanning both The University of Texas
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work environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources. Job description SDU Robotics
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/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and