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Field
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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.) together with advanced artificial intelligence methods. The main objectives are to: ➔ design and experiment with multimodal AI models to improve the diagnosis and prediction of battery aging; ➔ explore and
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communication needs. The UK 5G network market size is estimated to reach revenues of US$ 2,657.6 million by 2030. The rapid emergence of fully intelligent and automated systems is, however, anticipated to
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communication needs. The UK 5G network market size is estimated to reach revenues of US$ 2,657.6 million by 2030. The rapid emergence of fully intelligent and automated systems is, however, anticipated to
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understanding of electro-active artificial muscles, or other stimuli-responsive smart materials. We are looking for someone with a strong passion for interdisciplinary research, collaborative teamwork, and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by
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Description A Glimpse of the Job The Postdoctoral Research Associate will contribute to advancing artificial Intelligence driven technologies to address data interoperability issues in the process industry
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data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research Centre DKFZ, led by Moritz Gerstung, we have recently established a systematic spatial