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Research Fellow in Deep Learning for geoscience imaging! PhD Research Fellow in Deep learning for subsurface imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in
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. Procedure Reference: IT137 - 26- 34 I - Legal admission requirements I.I - Grant Recipients: The scholarship is intended for Masters in Electrical and Computer Engineering, enrolled in a PhD programme or a
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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scientific computing, image data processing and numerical simulations would be most welcome You should enjoy working in an interdisciplinary, multinational research environment Being an enthusiastic researcher
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German. In addition, the department is responsible for all the Sami language teaching (mother tongue and second language) at UiT. It also offers PhD programmes in linguistics, cultural/literary studies
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improvements. Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability. Report and
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scientific focus on polypharmacology, protein-protein interactions, peptide-membrane interactions and chemical tools for diagnosis and imaging. http://cermn.unicaen.fr/ Work Location(s) Number of offers
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. Preferential factors: • Education or training in reaction engineering, microfluidics, microbiology, fluid dynamics, image analysis, or machine learning (where applicable to the specific PhD project); • Fluent
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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or accessibility during the recruitment and hiring process or for more information and support, please visit UBC’s Centre for Workplace Accessibility website at https://hr.ubc.ca/health-and-wellbeing/workplace