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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
establish reference performance and guide the design of more advanced models. The core of the work will then focus on developing and evaluating machine-learning-based NILM methods tailored
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a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early
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emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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reflection interpretation (2D regional and 3D blocks), potential field modelling, and plate reconstructions. The total duration of the Ph.D. position is three years, starting by August 1st 2026. The PhD
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to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will
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Infrastructure? No Offer Description Are you curious about the mysteries of animal development and eager to uncover how tissues and cells behave in real time? If so, this PhD opportunity could be the perfect fit
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. Preferred Qualifications Ph.D. degree in a biomedical science-related field Previous experience working with rodent models and rodent behavioral tests/analyses. A minimum of 3 years of laboratory experience
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, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
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statistical models to predict treatment response; optimizing individualized rTMS targeting using neuronavigation and computational modeling; designing and conducting n-of-1 trials embedded in routine clinical