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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 16 hours ago
for osteosarcoma (OS) is hindered by limited knowledge of its biology and the lack of biologically relevant tools to test the efficacy of new approaches. This project aims to develop advanced 3D in vitro models and
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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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in rivers or estuaries with applications to plastic transport. The transport models will be included in existing shallow-water solvers running in hybrid CPU-GPU architectures. The expected workplan
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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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modelling, climate services, system dynamics, climate risk management or associated fields, and fully comply with the following requirements: The PhD must have been granted less than 5 years ago; Demonstrated
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: Knowledge of agronomy, irrigation, modelling, and programming 6. FUNDING AND SCHOLARSHIP COMPONENTS The grant will be financed within the scope of the project Horizon-IA Project 101156867 Path4Med
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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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will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine
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program at a Portuguese higher education institution - At least one publication in preparation on conceptual modeling applied to the socio-ecological system related to soil management in the Montado system
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analysis methods, including mixed-effects survival models and mixed-effects models applied to plant growth; experience within a Bayesian framework is highly desirable. 3. Strong skills in data analysis and