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for materials science, and advanced optimizers for modern deep learning. The research may be conducted in collaboration with the Electronic and Photonic Materials and/or the Computer Vision Laboratory
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particular focus on the effects of boundary layer ingestion. The work also includes: Whole-aircraft noise prediction Flight trajectory optimization Environmental and societal impact assessment of future air
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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
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the problem is explicitly considered. In particular, it will investigate how to tightly integrate state-of-the-art sampling-based methods with state-of-the-art methods from numerical optimal control in a
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speaking is required. Knowledge of Swedish is meriting. The fellow is expected to work and collaborate within the Horizon JU CBE SingleTree project on the optimization of multifunctional forest-based value
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optimization of imaging parameters. Overall, this project aims to explore, develop and integrate advanced imaging modalities towards their use for biological samples. Work tasks The main task of the position is
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description and working tasks Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized functions as offered by libraries
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, accepted, or under review), 2) experience in optimization or machine learning. We would like to know where your interest lies. Therefore, you are required to submit a research statement where you describe
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely