23 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Vrije Universiteit Brussel
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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. More information can be found on our website: https://www.b-phot.org . The candidate will be supervised by Prof. Francis Berghmans, and co-supervised by Dr. Sidney Goossens and Dr. Sergei Mikhailov
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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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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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multiple symbolic fields, including official political discourse, academic debates and selected cultural outputs. Methodologically, it adopts a mixed-methods approach, combining machine-learning–enhanced
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fully funded PhD position in machine learning, AI, and data science for public health within the Electronics & Informatics Department (ETRO) of Vrije Universiteit Brussel (VUB). The PhD is embedded in
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-spectral microscopy framework that extracts meaningful spectral information from a single image, by combining innovative optical system design with learning-based data processing. The research aims
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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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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