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Field
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Computer Science/EEE specializing in Learning Analytics (LA)/Machine Learning (ML) Skills in Learning Analytics (LA) / Machine Learning (ML) field Experience in software development life cycle and programming
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and management, machine and deep learning, as well as a solid understanding of wave phenomena and geophysical data analysis and imaging.
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setup, validate results using electrophysiological recordings, apply deep-learning approaches to analyse noisy data, and disseminate your findings through publications. The team – You will work with the
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Machine Learning Department Cooper Laboratory | Department of Orthopaedics | Faculty of Medicine (Anthony Cooper
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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
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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networks. • Apply AI/ML and deep learning techniques for analyzing dense multimodal data in real time. • Integrate system-level solutions for interfacing with computers, smartphones, or AR/VR
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or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A main focus of this work is snow and glaciers in the mountains around the
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/ open quantum systems quantum control / optimal control machine learning (including deep learning and/or reinforcement learning) numerical simulation of quantum dynamics Proven programming skills (e.g
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the financial sector and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and