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Field
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in diverse domains—such as manufacturing
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and statistical mechanics. The project is a NWO funded "open competition project" which deals with the study of metastability for dilute spin systems. These are classical models of statistical mechanics
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? No Offer Description Will you develop our next generation environmental impact assessment to make PV circular and more sustainable? Are you an expert in LCA modelling, and you want to make the energy
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) models to extract clinically meaningful diagnoses, symptoms, signs, and disease durations linked to infections and post-infection syndromes including post-COVID. You will work with extensive real-world
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demands the development of a highly loaded, lightweight turbo-compressor. The objective of this research project is to develop a surrogate model of the compressor to enable the simultaneous optimization
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perception of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object