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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 22 days ago
execution of cognitive behavioral tasks; - Acquisition and analysis of neural signals obtained through either in vivo eletrophysiological or neuroimaging methods; - Computer programming for data analysis
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the National Environmental Health Science and Protection Accreditation Council (EHAC). More information can be found at the Department website: http://www.ecu.edu/hlth/. Job Duties: This position will be trained
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. Build data processing workflows and implementation of AI/ML methods to identify significant trends and dependencies of the estimated parameters on observation data and various environmental factors
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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The School of Computer Science seeks to appoint a Lecturer in Human Computer Interaction with a strong focus on hardware prototyping and/or fabrication. We are particularly interested in candidates
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 10 days ago
for the preparation and implementation of the project activities. Duration and start date The fellowship will have an initial duration of 6 months, with an estimated start date of February 2, 2026. The fellowship
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Systems. This project will focus on the estimation of tree crown vitality, transpiration, and water status and the upscaling of these parameters from single-tree to landscape scale using advanced remote
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: Polymer chemistry, materials chemistry Chelating ligands, coordination chemistry, or metal–ligand interaction studies Synthesis of functional materials for separation processes Characterization methods
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CUNY Borough of Manhattan Community College | New York City, New York | United States | about 21 hours ago
. Serving as a member of the President?s cabinet, this position provides information and direction in understanding and improving student outcomes, success and ultimately recommending methods of continuous
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study on camera pose estimation using deep learning-based methods, ii) identification of scenarios to be used as case studies, iii) data collection and construction of 3D models of the involved scenes, iv