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Field
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transform visual information. We use large-scale electrophysiology and closed-loop visual experiments with macaque monkeys to discover the principles underlying cortical computation. We are seeking highly
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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of the certificate is mandatory for signing the contract. More information can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . ELIGIBILITY OF CANDIDATES: Without prejudice to the applicable
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Massachusetts. Specifically, this fellowship is focused on machine-assisted visualization. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who
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but not limited XPS, ICP-OES, GC-MS, TEM. Experience with data visualization and analysis software. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a
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agrifood systems transformation in the Southeast U.S. Additional Required Department Minimum Qualifications: Doctoral (Ph.D.) degree in Geography, Anthropology, Sociology, Public Policy, Information
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on visual attention models derived from eye-tracking data, building upon results obtained within the XAVIER project. The research fellow (holding an MSc degree) will be responsible for: Updating and testing
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24 Dec 2025 Job Information Organisation/Company Barcelona Beta Brain Research Center Department Population Neuroscience Group Research Field Medical sciences » Health sciences Researcher Profile
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programming – information provided in the CV and/or motivation letter; b) Processing and visualization of large files (NetCDF) – information provided in the CV and/or motivation letter; c) Knowledge and
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, experimental design, execution, and data interpretation. Design and engineer novel synthetic constructs to precisely control immune cell function. Analyze, visualize, and interpret data Document and maintain raw