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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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Food Science, Food Engineering, Materials Science, or a related field. A Master's or Ph.D. in a related research field is advantageous. Experience with instrumental texture, image analysis and particle
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We invite applications for a Research Fellow to join an interdisciplinary research team led by Dr. Sing Yian Chew (NTU). The successful candidate will contribute to an ongoing research program
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position
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-oncology imaging and engineering, nucleic acids nanotechnology, computational biomedical imaging. We are seeking a person with preferred experience in cancer immunology, immune engineering, biomedical
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degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 8 hours ago
Status Full-time Hours Per Week 35 Offer Starting Date 20 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/FCT_Proj2024/i3S
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Job Posting Title: Computational Postdoctoral Fellow For AI-driven Seismic Imaging ---- Hiring Department: Bureau of Economic Geology ---- Position Open To: All Applicants ---- Weekly Scheduled
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical