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applicable legislation, namely the Labour Code, approved by Law No. 7/2009, of February 12, as amended, to perform research activities within the scientific area of Cardiovascular and Respiratory Sciences
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
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Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
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from video recordings. This studentship would be part-sponsored by an industrial partner, Neurotherapeutics Ltd. Use translational neuroimaging and neurophysiology methods together in a rodent model of
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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
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research in the field of Educational Sciences, through an individual employment contract for an indefinite period, in accordance with the Labour Code, for the project “CIVITAS: Pontes entre Cidadania e
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must not exceed 25 MB altogether. These can be compressed in .zip format. 8. Evaluation criteria: The admitted applications will be evaluated by assessing the candidates' academic or professional
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on large annotated datasets. Memory-efficient deep learning: Model compression, pruning, quantisation, selective memory replay, and efficient training strategies. Energy-efficient deep learning: Methods
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Cutting-edge Research for a Changing World PhD position – Ad Print4Life DC11 Reference code: 50156132_2 – 2025/MO 3 Commencement date: March 1st, 2026 Work location: Geesthacht Application deadline