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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 6 hours ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
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at one of the universities partnering in the DRYAD project (https://dryad-project.eu ). Work Plan: The candidate's main tasks will involve hydrological and hydrogeological modeling of the study areas
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, such as growth and invasion, will be determined. Using in vitro and ex vivo (3D) models of GBM–neuron interaction, based on human samples, the mechanisms by which neuronal activity promotes tumour growth
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 10 days ago
and new animal models in high-throughput settings, this transdisciplinary project aims for socio-economic impact while generating essential new knowledge in the field of drug discovery. The MabExpress
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FCT. solid experience in computational modeling, with relevant skills for the development of models and projects involving photovoltaic systems. Workplan and the objectives to achieve: The main
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part of the jointly promoted NEUROLYMPICS – Neuro-Centric Multimodal Control System project, focusing on preliminary studies, technical specifications, modelling and system design. The work to be
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: Complete applications must be submitted online at https://ccmar.ualg.pt/en/career-opportunities and must include: 1. A motivation letter (in English); 2. A detailed Curriculum Vitae (in English); 3
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 13 days ago
stages of organogenesis, in the spermatheca of the animal model C. elegans using genome editing and live fluorescence microscopy. Admission Requirements: Mandatory: Candidates must hold a Bsc and a
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methods. The objective is to understand the relationship between the training data space and the space of the model's generative possibilities, and to use evolutionary computation techniques to guide
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 7 hours ago
the most significant microscopic parameters for the homogenized response Develop and train machine learning models to estimate the homogenized properties from such parameters Document research findings