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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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. State-of-the-art algorithms such as the Gaussian process-based Bayesian optimization have shown high potential tuning radioactive ion beam lines and is currently being the focus of attention in facilities
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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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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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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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presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new algorithms that can tightly integrate physical hardware, sensors
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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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chain management and the potential applications of data-driven methodologies and algorithms.• You can do independent research (demonstrated, e.g., by an excellent MSc thesis).• You have excellent command
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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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and checked by an independent third party, and even (3) rigorous evaluation of algorithmic improvements.For some inspiration on this topic, see the CertiFOX project page: https://www.bartbogaerts.eu