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(or comparable deep learning models) for image analysis. Demonstrated expertise in digital pathology concepts, including image processing, feature extraction from whole slide images, and working with large-scale
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or two of these areas: algorithm learning, approximation algorithms, blockchains, complexity theory, deep neural networks, distributed systems, graph theory, graph neural networks, learning theory, online
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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification
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informatics, especially chronic disease management (with emphasis on asthma) Machine learning / deep learning / artificial intelligence Profile Ideally, the candidate has a degree in Electrical Engineering and
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research in mineralogy, dynamics, and evolution of deep planetary interiors. Project background The Experimental Mineral Physics group applies high-pressure and high-temperature experimental approach mainly
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functions and global teams. Experienced people manager with a strong track record of team development and leadership. Deep understanding of GCP, clinical trial regulations, and relevant regulatory guidance
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knowledge in NLP / Computer Vision, and Deep learning is a plus. Workplace Workplace We offer Inspiring working environment. During your work, you will have the opportunity to be coached by data scientists
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programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
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collaboration, particularly in promoting synergies between different specialist areas, and possess the ability to successfully acquire third-party funding and lead innovative research projects. Excellent
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pharmaceutical information to healthcare professionals or patients. We are seeking talented applicants, particulary those with a strategic vision for advancing the field of digital pharmacy, a deep understanding