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analysis methods for image data or time series data. Personal characteristics Willingness to learn new fields in a multidisciplinary research environment. Excellent communication skills. Drive to transition
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policy workshop series, equity-focused socials, and opportunities to engage in other UBC Health activities and opportunities. All activities are informed and enriched by past and present Scholars
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real-time data from numerous sub-modules, which demands high computational power and complex communication networks. Decentralization seeks to distribute these tasks across sub-modules, enabling real
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state-of-the-art machine learning methods to analyse high-dimensional (time series) data. For the selected candidate, there will be possibilities to influence the project and develop new project ideas
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operations such as machining. This is driven by the need to complete repair tasks without disassembly of industrial installations. We developed a series of continuum robots in both short and long versions
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, and capabilities in the labour market for now and in the future. In the framework of our diversity and inclusiveness policy, we strongly stimulate people with a (work) disability to apply
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(hydrodynamically deformed) by a series of laser “pre-pulses”. The ability to shape & control these tin targets is critical for efficient generation of EUV light for current and future light sources. Such abilities
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increase the understanding of the complex hydrotreating process of advanced bio-oil through well-defined model compound studies. It is a further objective to increase the understanding of how the presence
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13 Feb 2025 Job Information Organisation/Company KU Leuven Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 11
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experience with time series data analysis and/or anomaly detection is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I