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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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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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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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machine and deep learning for the development of a seamless neural weather forecasting system. This project is framed as a collaboration involving the Swiss Data Science Center, MeteoSwiss, and EUMETNET
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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
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structuring their courses, integrating digital learning tools, and setting up course materials in Moodle. This role is essential for the revision of the MSc MTEC curriculum, ensuring smooth course