13 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at Vrije Universiteit Brussel in Belgium
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management and performance measurement in the cross-media landscape Tallinn University (TLU) Estonia Where to apply E-mail repim@vub.be Website https://repimnetwork.eu/recruitment/ Requirements Research
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the complete language regulations on https://jobs.vub.be/content/Regulations-concerning-language-proficiency/ . Certificates demonstrating knowledge of the language can already be added to the application. As a
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generation of spectroscopic sensors, integrating spectroscopic analysis, machine learning-based data processing, miniaturized sensor development, and industrial validation. As a Technology Expert, you will
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machine learning processing of the spectroscopic data • The optical design and development of novel custom spectroscopic sensors benefitting from freeform optics. • Integration of the in-situ
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knowledge of English. • Basic computer skills (word processing, spreadsheets, inventory systems). • Strong communication, proactive attitude, and attention to detail. • Willingness to learn new techniques and
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implementing signal processing algorithms specifically tailored to analyze signals that contain interfering impulsive content, often encountered in data coming from main and pitch bearings. Machine learning
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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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for environmental epidemiology (Epi, survival, sf, gstat, mgcv) and causal inference (dagitty, MatchIt), as well as contributing to reproducible, scalable data pipelines. Machine learning integration: Exploring ML
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management, and machine learning approaches for process monitoring and control For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
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be analysed using network analysis and machine learning. Empirically, the project aims to understand what China, the US and Europe are doing to compete in semiconductors, cloud computing and space