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time; human resources management; quality of life and well-being; b) Experience in analysing quantitative data (e.g. European databases, structural equation modelling) and qualitative data (interviews
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for the production of complex porous structures B.CAD modelling and CFD simulation of TPMS structures and other geometries applicable to chromatography. C.Production and physical, morphological and
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curricular evaluation purposes, proven skills in programming, preferably Python; machine learning and artificial intelligence; language models and retrieval-augmented generation (RAG); ASR/TTS; diarisation
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supporting documentation, proven experience in all of the following areas: Computer vision and video processing (ingestion, ROI, 2D/3D keypoints, heatmaps); Deep learning and temporal modelling (CNNs
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contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://www.apply.uc.pt/ Requirements Research FieldEngineering » Civil
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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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technologies and their application in high-resolution visualization systems. Optical modelling and simulation using specialized software (e.g., Zemax, Matlab, Mathematica). Development and integration of optical