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11 Jul 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted
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‑situ digital working instructions (DWIs). However, current AR/VR solutions are typically developed as standalone applications, manually authored, and weakly connected to product‑level data. As a result
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a broad range of objectives from fundamental understanding of flow properties
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
out research duties within the project “FibroRevert - Modeling and targeting cell-extracellular matrix communication to revert tissue fibrosis”, GA 101221669, funded by the European Research Council
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Development Incentives system (SIID), regulated by Ordinance No. 328 B/2023 of October 30, in its current version and under the terms of Notice MPr-2023-7 - SIID-R&D Empresarial - Co-promotion Operations
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murine models, aiming to characterize the efficacy and safety of the CAR-T constructs developed against rhabdoid tumor cells. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo