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. Viktar Asadchy[AALTO] Co-supervisors/mentors: Dr. Victoria Tormo [INDRA] and Dr. Barthès [3DEUS] Objectives To establish an analytical modeling approach for multilayer tunable metasurfaces that captures
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required for the project or the hosting universities. This full-time 3 year PhD studentship focuses on the use of technology to assess symptoms of PD and for PD prediction. The key aim of this PhD is to
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statistical methods to large-scale medical datasets (EHR, imaging, genomics, clinical trials). Design algorithms and predictive models to advance diagnostics, medical devices, healthcare access, and
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to capture the spatial complexity of tumor organization and its relationship to treatment response. This PhD project aims to develop robust multimodal predictive models of platinum resistance using a large
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management and finite element modelling. Applicants who are in their final year of the first degree study are also encouraged to apply and will be initially employed as RSA. The University of Malta is an
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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NAME_FAMILY NAME) : https://nextcloud.univ-lille.fr/index.php/s/ezJxfSBwTjkJCnt Key words: solidification, recycled aluminum alloys, induction heating, thermal simulations, 3D modelling, mechanical testing
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Spanish and developing/testing computational models of second-language processing. The work is part of an NSF-funded project Predictive processing in naturalistic language comprehension through EEG and
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. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS CASC. Qualifications Required Qualifications: A completed
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. The project combines interval timing and error monitoring in a novel behavioral task adapted to human and rat models. The leading hypothesis is a read-out model, which assumes that a Timer and a Reader are