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have the opportunity to engage in pioneering research, collaborate with a dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies
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machine learning algorithms/data science methods for clinical proteomics data. Further, during the enrollment process, you will define together with your supervisors (main and co-supervisor) additional
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, the candidate will be leading the building of a database to i) guide neuroethological studies (behaviour and physiology) in honeybees at University of Konstanz, and ii) train algorithms aimed at modelling and
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hardware modification. The AI will learn and adapt the realms of the combustion modes and fine tune the performance for each while the engine is operated. Self-tuning, adaptive, control algorithms will be
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sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit, and excellent collaboration skills. You will be responsible for the collection
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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outperforms previous magnetoresistive devices by orders of magnitude, and ii) assess its potential for applications, including magnetoresistive sensors. Responsibilities and qualifications The primary tasks
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-film solar cells. LightTrap covers the entire discovery chain, from ab initio calculations and photonic simulations to materials synthesis and nanostructuring, all guided by advanced AI algorithms
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meetings Potentially participate in Arctic field campaigns Be working with large data sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit
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developing 3D vision algorithms for object detection, recognition, and scene understanding to support planning and task execution in dynamic environments. Publishing research findings in leading international