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machine vision algorithms. The system will be designed with the physical constraints of remote fusion environments in mind, including radiation tolerance, restricted access, and the need for automation and
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, drawing insights and ideas for implementation. Having previous publications is a plus. Experience in designing, developing, and implementing computer vision models and algorithms. Proficiency in Python and
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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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Python programming and computational algorithms is highly desirable. Additionally, you will possess a deep understanding of time-series data processing and analysis, as well as experience in human
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methodologies for quality control in the laser powder bed fusion (LPBF) process. Through the analysis of data from in-Situ AM Process Monitoring tools, machine agnostic algorithms will be generated for quality
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in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies
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in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies
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algorithms in e.g. MATLAB or PyTorch, and later collaborate with the University of Padova, Italy to deploy controllers to their prototype self-balancing electric bike. Informal enquiries should be directed
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procedure. Your key role within the team will be to develop a robotic swabbing system, conduct user studies for efficacy evaluation, and develop automatic swabbing control algorithms. You will have experience
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enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want to help build and maintain some of the largest