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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 5 days ago
to be tested in the mouse model. To achieve these aims, the workplan involves performing in vivo (mouse) infections with different clinical isolates of M. tuberculosis, analysing the immune response
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; Knowledge of stable isotope techniques and methodologies - information provided in the CV and/or in the motivation letter; Experience in data analysis and ecological modelling (GLM, GLMM and the like
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Elasticity Model Improve the mooring cable elasticity framework by implementing: Nonlinear tension-strain constitutive relationships Linear viscoelastic model capturing both instantaneous and time-dependent
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). e) Experience in musculoskeletal modeling and finite element modeling (preferred). Academic degrees obtained in foreign countries shall be registered by a Portuguese institution, according to
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, subject to an opinion issued by the respective supervisor(s). The report models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research
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possess strong programming skills in Python and C++, with experience in PyTorch and pybind11 for developing and optimizing deep learning models. Familiarity with Sentinel-2 satellite imagery and experience
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preclinical model of ischemic stroke and compare with the effect of an experimental drug. Work plan: To determine the therapeutic potential of preconditioned MSC and their secretome in a preclinical model of
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. Knowledge of 2D materials, ECM-type memristor devices, and hands-on cleanroom experience, such as lithography and chemical processing, is required. Experience in modeling and antenna design is also desirable
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design automation tools for analog, RF and millimeter-wavelength IC design. It focuses on the automation of analog circuit design utilizing diffusion models and/or other state-of-the-art generative
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
collaboration with other researchers. The key topics of PREDICT (and the candidate’s potential line of research) are: Machine learning-based probabilistic hydrological modelling, including calibration, validation