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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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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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, the use of quantitative methods to address major environmental questions. The PhD candidate will be based in the Research Unit in Environmental and Evolutionary Biology (URBE) at the University of Namur
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reinforcement learning algorithms and contribute to the joint development of the broader modelling and policy framework. Your work will focus on multi-criteria reinforcement learning, uncertainty-aware decision
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algorithms that can tightly integrate physical hardware, sensors, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining
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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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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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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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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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presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new algorithms that can tightly integrate physical hardware, sensors