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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive
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forming composite fibres into 3D-shaped component parts. High quality numerical analysis is a crucial part of the process of understanding and predicting high quality manufacture of composite structures
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1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 30269290003 Is the Job related to staff position within a Research
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-impact/well-established journals Demonstrated ability to attract external research funding Experience with computer vision and 3D imaging. Experience with data engineering and setting up routines for data
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Engineering, Biomedical Engineering, Computer Engineering or similar areas. Project: Fully Automatic Occluding Device Sizing for LAAC in 3D TEE (AUTO-LAAC). Where to apply E-mail candidatura_2ai_est@ipca.pt
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regarding the positions, please contact Rajmund Mokso (rajmo@dtu.dk). You can read more about the department https://physics.dtu.dk and the 3D imaging center https://3dim.dtu.dk . If you are applying
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Engineering, Computer Engineering, Biomedical Engineering or similar areas. Project: Fully Automatic Occluding Device Sizing for LAAC in 3D TEE (AUTO-LAAC). Where to apply E-mail candidatura_2ai_est@ipca.pt
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22 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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15 Jan 2026 Job Information Organisation/Company Military University of Technology - Wojskowa Akademia Techniczna Department Faculty of Electronics Research Field Computer science Engineering
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Recognised Researcher (R2) Application Deadline 11 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not