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published literature to generate quantitative analysis, Some Python or Matlab programming may be required to employ in the development of machine learning algorithms. In these capacities, the Research
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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 Engineer to conduct research on air traffic management (ATM) algorithms and
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postdoctoral fellows to perform cutting-edge research in AI for radiation therapy. Research areas include developing and implementing AI techniques for image-guided radiation therapy, such as image
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Hands-on experience with machine learning algorithms and developing/testing complex software systems Basic understanding of hardware/embedded software development Additional Requirements (MSCA Eligibility
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 39 minutes ago
, and approximation algorithms. The successful candidate will be expected to deliver a course similar to the outline presented here: https://www.utsc.utoronto.ca/~bretscher/c63/lectures.html
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are available to support conference travel and professional development. Duties & Responsibilities: • Successful candidates will develop and refine computational, mathematical, and statistical models
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FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Strong foundation in software engineering principles, data structures, and algorithms. Experience in designing, developing, testing, and
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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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communication skills. Proficiency in developing deep learning models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical