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of this type of experiment for battery science, as well as for many other research domains. This project will also include the development of iterative reconstruction and noise suppression algorithms towards
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; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience
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research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
continuously conducting supervision and evaluation of bachelor’s (Biomedical Engineering, Biology and Medicine), master’s (Master’s in Molecular Biology and Biomedicine), and PhD degree projects of Spanish
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40 scientists, postdoctoral researchers, and PhD students working on the interpretation of satellite observations, atmospheric modelling, data science, and the development of future Earth observation
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journals and conferences. Required Qualifications • Ph.D. in Electrical and Computer Engineering, Computer Science, or a related field. • PhD must be awarded no more than four years prior to the effective
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at the weekly seminars. Present results internally and at international venues; Qualifications PhD in Applied Mathematics or Computer Science (at the time of appointment), with strong research record in privacy
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on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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synchronized to each patient's evolving gait dynamics as they recover. You will: Retrain an IMU-based gait-detection algorithm using stroke-patient data Run patient panels with stroke survivors, with a PhD