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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Infrastructure? No Offer Description Work group: PGI-15 - Neuromorphic Software Eco System Area of research: Promotion Job description: Your Job: The conventional, manual co-design of algorithms and hardware is
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
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Shape Optimisation This project focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings
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characterisation, MMIC design up to phased-array implementations (3 vacancies) With its partners, the University of Twente founded POLARIS, a programme running under the Dutch National Growth Fund (NGF). It realises
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focuses on embedding state-of-the-art LLMs into the set-up stage of generative shape-optimisation algorithms. The aim is to learn more expressive design-variable encodings and establish tighter, more