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learning, deep learning, brain-inspired learning, and optimization theory. The aim is to explore new technologies and methods for information processing. 2. Autonomous Intelligent Systems: Integrating
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, deep learning and virtual crash simulation to create more realistic and equitable safety assessment tools for tomorrow’s transport systems. About the research project This project aims to develop a
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. Image Processing & Annotation Preprocess ophthalmic imaging data for machine learning workflows through normalization, resizing, artifact reduction, and quality assessment. Coordinate imaging annotation
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Job Posting Title: Postdoctoral Fellow, AI Healthcare Innovation ---- Hiring Department: Quantitative and Systems Health Science (QSHS) ---- Position Open To: All Applicants ---- Weekly Scheduled
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) in independent scientific analyses and/or image data management. Demonstrated experience in one or more applied computational fields: application of modern machine learning methodology , algorithms
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 24 days ago
Project on Clean Aluminium Material Processing As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer
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well as expertise in sample preparation and 3D electron microscopy image analysis, are required. Profil du candidat Holder of a PhD in biology or biophysics, you have completed a postdoctoral contract of
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in practice-oriented, interdisciplinary collaboration with international cooperation partners from research and industry knowledge of software development, deep learning, computational imaging
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components. Experience with machine-learning-assisted detector optimization, inverse problems, image reconstruction, or data-driven modeling of radiation measurement systems. Experience with ADOE, national
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Computational Biology. Description of the subject area Computational biology comprises the development and application of computational, statistical, and machine-learning methods for analysing