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: country/ies of residence: EUROPE Eligibility of fellows: nationality/ies: EUROPE Selection process "Call for Expression of Interest" Website for additional job details https://trasparenza.uniroma1.it
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, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML
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Stanford University and HHMI, https://redhorselab.com/, studies vascular biology in many contexts - including cardiovascular and placental development. Position Summary: The Red-Horse Lab at Stanford
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
22 Apr 2026 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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California State University, San Bernardino | San Bernardino, California | United States | about 1 hour ago
the application or hiring process should contact CSUSB Benefits at benefits@csusb.edu . Smoking CSUSB is a smoke and tobacco-free campus. See policy https://calstate.policystat.com/policy/6591951/latest/ . Clery
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mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination
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Eligibility criteria a. A PhD degree in Computer Engineering, Telecommunications Engineering, or related disciplines, or an equivalent degree obtained abroad. Pursuant to Article 38, paragraph 3 of Legislative
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. Activités The PhD will employ a combination of simulation, optical engineering, and experimental validation: • Imaging processing and control algorithms: Use and develop existing coronagraphic simulation
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activities within the PhD programme and in project coordination meetings. Where to apply Website https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias Requirements Research FieldEngineering
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture