-
The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
-
Postdoctoral Research Fellow - Chemical and Biological Engineering Job No.: 698489 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $86,195
-
The Volcanology, Igneous Petrology and Geochemistry group, under Prof. Froukje van der Zwan at KAUST is looking for an outstanding postdoctoral researcher for a 2-year position (extension possible
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
Responsibilities The Postdoctoral Fellow will conduct advanced research in deep learning, with a focus on optimization design and/or the application of deep learning methods to complex real-world problems
-
, 0.5 FTE (17.5 hours), fixed-term role until June 2027 - Macquarie University Wallumattagal Campus, North Ryde The Postdoctoral Research Fellow will contribute to a government-funded research project
-
, 0.5 FTE (17.5 hours), fixed-term role until June 2027 - Macquarie University Wallumattagal Campus, North Ryde The Postdoctoral Research Fellow will contribute to a government-funded research project
-
Science, Materials Informatics, or a closely related discipline. 3–5 years of postdoctoral research experience with a strong publication record. Demonstrated expertise in machine learning for time-series or multimodal
-
about working at NTNU and the application process here . About the position The Department of Ocean Operations and Civil Engineering has a vacancy for a Postdoctoral Fellow in Steam Turbines for Ships. We
-
related to staff position within a Research Infrastructure? No Offer Description At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable
-
experimental research involving imaging systems, instrumentation, data acquisition, and quantitative validation is highly desirable. Familiarity with AI/deep learning methods for medical imaging is advantageous