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: IMPROVing lifElong health and development for children and adults born very PRETERM – observational studies to enhance randomised trials for comparative effectiveness research” project, reference 101156325
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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internationally. Main Responsibilities · Contribute to the installation, calibration, and validation of radio monitoring equipment. · Develop and test real-time data pipelines and deep learning algorithms for Solar
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effects within the DG framework Hydrodynamic drag for discrete elements Irregular Bathymetry Modeling Develop seabed interaction capabilities: Contact detection algorithms for irregular seabed profiles
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Researcher, of the FCiências.ID Scientific Research Career, within the scope of the project HOFGA: The Hardness of Finding Good Algorithms (Ref. HORIZON-ERC-STG-101041696), financed by the European Union´s
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simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power consumption and
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the fields of intersection between art and science, in particular the development of innovative forms of exhibition, education, mediation, critical narratives, among others. Geodiversity, paleodiversity and
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, Physics or Physics Engineering and sub-research fields of Functional Materials and Nanotechnology, under a work contract for a non-fixed term, aiming at the development of an innovative encoding system
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scientific and professional curriculum in the scientific area of this competition and who reveal a profile suitable for the activities to be developed, in accordance with the description in point 8
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 days ago
, for an unfixed term work contract to carry out research duties within the project "How dividing cells adapt to kariotypic evolution", with reference ERC-2023-ADG-101140624-KAREVO, funded by the European