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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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of information remain critical to standardize and store in DPPs when AI‑assisted instruction generation is introduced.By connecting AI, AR/VR technologies, and DPP frameworks, this project will advance the state
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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of the Polish Academy of Sciences at the Institute of Plant Genetics, PAS in Poznań Procedure no. 15/2026/IGR/PSD PhD CANDIDATE IN AN NCN OPUS 27 PROJECT Genetics, genomics and bioinformatics of flowering in
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applications for 3 Doctoral Research Fellowships, within the framework of project with the reference UID/00144/2025, financed by Foundation for Science and Technology (FCT) through National Funds, under
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of this call is linked to the CEMI project, the completion of which is scheduled to end in September 30, 2028. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/009316 Requirements
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) invites self-driven and skilled engineering candidates to apply for a competition-based admission to a doctoral study program in Mechanical Engineering under the PhD project ‘Rapid manufacturing of energy
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 28 days ago
, within the PRIVATICS team in Lyon, with close collaboration involving CNRS/LIRIS Lyon and Inria Lille (MAGNET Team). The project is funded by INESIA’s initiative on the evaluation of AI. The scientific