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modeling the mechanisms of visual perception and prediction. The grantee will be expected to take the lead in writing manuscripts for publication based on the experimental results. The grantee will also
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and Marine Studies (CESAM) and Physics Department, to exercise the functions of scientific research, dissemination and scientific management, namely: implementation of hydrodynamic models for the Ria de
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the different types of agents, their functions, coordination mechanisms and communication protocols required to support monitoring, predictive maintenance and intelligent asset operation. ii) Model and implement
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tests results (including with multidirectional cyclic loading) namely using the cyclic contour diagram methodology; ii) soil-structure interaction numerical modelling of anchor structures; iii) evaluation
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S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 13 days ago
of registration; - Declaration of commitment acknowledging the exclusivity regime ; - Certificates of qualifications; - Bank account number - IBAN. Fellowship contract model After the selection of the candidate and
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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt
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molecular data to elucidate mechanisms of neurotoxicity; Collaborate with team members working on environmental exposure, and computational modelling; Prepare manuscripts, contribute to grant proposals, and
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domains. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and cognitive (e.g., shared mental models) processes. Design an
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nanoplastics and degradation products and the investigation of their toxicity in in vitro cellular models, within the scope of the European project BMRex -Biocatalytic membranes for micro/nano plastic
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sub-area of Biotechnology Applied to Health, within the scope of the project “CAN-TARGET – Decoding the Complexity of Cancer: Integrative Strategies to Model In vitro and Target the Multi-Cellular Tumor