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2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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specifically, the computational team will build on our previous work (PMID: 38951512) to establish and train deep neuronal network models on large existing dataset with multi-omic data. Subsequently
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Richard Feynman famously quoted ‘turbulence is the most important unsolved problem of classical physics’. Understanding and modelling
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., RGB-D, thermal, LiDAR, tactile), universal perception frameworks (e.g., Vision-Language-Action (VLA) models, Transfer Learning, self-supervised learning) that generalise across tasks and scenarios in
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The Department of Medical Informatics at Erasmus MC invites applications for a PhD position at the forefront of health AI and data science. Join our innovative, multidisciplinary team engaged in
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 4 days ago
Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe (other) Is the Job related to staff position within a Research Infrastructure? No Offer
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: reduced-order models (ROMs) and input-output models derived from high-fidelity Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter
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are offering four PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL-DBE). The SDL-DBE develops and applies multiscale models, AI-enhanced simulations, and computational workflows across IBG
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-ML to identify potential for upscaling a GIS model versus field collected geochemistry data to inform areas that would benefit from soil erosion mitigation and protection from land clearance. Training