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new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word
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PhD Positions Country France Application Deadline 2 Nov 2025 - 20:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU
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of the 7TBRP. Job Requirements: PhD in BioE and experience with 7T MRI imaging and processing, including human in vivo and ex vivo. Assignment Category: Full-time regular Bargaining Unit Eligibility: This
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 hours ago
Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 16 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer Starting Date 3 Nov
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the allocation of one research fellowship for MSc, PhD students or MSc degree holder enrolled in a non-academic degree course (BI), within the Research Project entitled REPAIR: Repair and recovery in ischemic
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | 3 days ago
Research Infrastructure? No Offer Description Master’s degree in Agronomy. Research Line: Image analysis and early detection of pests and diseases in greenhouse crops. Where to apply E-mail ceigram.etsiaab
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The University of South-Eastern Norway has a vacancy for a 100% position as PhD Research Fellow in Ecology of Vision at the National Centre for Optics, Vision and Eye Care from 01.04.2026
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Required qualifications PhD within forest sciences, remote sensing, data science or related field Competence in data processing and analysis of remotely sensed data Experience in use of remotely sensed data
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography