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an emerging, complementary research program. Candidates should have 5+ years of postdoctoral research experience, a strong publication record, and demonstrated expertise in endothelial/vascular biology and
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experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Nov-25 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 177629 The Computer Science
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8 Nov 2025 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Computer science
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College of Chemistry and Molecular Engineering, Peking University | Exeter, England | United Kingdom | 1 day ago
) Location: Department of Engineering, University of Exeter The Role The Faculty of Environment, Science and Economy seeks a Postdoctoral Research Associate to join the ARIA-funded NEUROBOT project
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journals and international conferences; contribute as a member of the UNIFIED project interacting professionally with consortium members and stakeholders; be an active part of the Informatics Institute, in
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Areas: All fields of mathematics, theoretical physics, computer science, and their applications Appl Deadline: (posted 2025/10/23, listed until 2026/10/28) Position Description: Apply Position Description
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The Department of Earth Sciences are seeking a highly motivated and skilled researcher responsible for conducting a comprehensive retrospective analysis of volcanic seismicity across Costa Rica’s
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real