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? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/postdoctoral-scientific-… Requirements Research FieldComputer
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(industrials & academic). The Interreg project called WIBATTS aims at producing passive Tag RFID for the non visual monitoring of the cold chain system in supply chain for pharmaceutical or food industry. Your
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Cornell University, History of Art and Visual Studies Position ID: Cornell-History of Art and Visual Studies-POSTDOC [#31620, WDR-00056959] Position Title: Position Type: Postdoctoral Position
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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Postdoctoral Associate in History of Art The Department of History of Art & Visual Studies at Cornell University (https://arthistory.cornell.edu) invites applications for a two-year Postdoctoral
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generation of health data scientists. Areas of expertise include bioinformatics, computational biology, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses