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Brussel (VUB) is looking for a motivated PhD researcher in Computer Science to join a new interdisciplinary project on arbovirus prevention and control in the European Union. The project is led by Prof
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Science Centre Poland - Narodowe Centrum Nauki (NCN). It involves researchers from the Vrije Universiteit Brussel/imec and Warsaw University of Technology, under supervision of Prof. Peter Schelkens and
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learning-powered algorithms as well as hybrid approaches, combining either reinforcement learning or deep learning (Graph Neural Networks) with human-based modelling, for fully flawless and autonomous method
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modelling, learning-based reconstruction and classification algorithms, enabling joint optimisation of optics and data processing. We are looking for an excellent PhD candidate in photonics (48-month duration
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PhD working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on analysis of time series data. The goal is to develop algorithms for detecting anomalies, discovering “motifs” (repeating patterns
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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advanced mathematical frameworks and algorithms that accommodate the distinct operational characteristics of these mobility services while addressing their charging infrastructure needs. Project abstract
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involves researchers from the Vrije Universiteit Brussel/imec and Warsaw University of Technology, under supervision of Prof. Peter Schelkens and Prof. David Blinder, and respectivily. Prof. Tomasz Kozacki
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environments (preferred). You possess the ability to conduct independent research and develop novel algorithms. You have strong analytical and problem-solving skills. You have a research-oriented mindset and
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the supervision of Prof. Laura Maria Poreschack of the Research Centre for Operations Management located on the campus Brussels and Leuven. This research should lead to a PhD-degree within 4 years. The research