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T-BIOM Preferably publications related real/AI generated image classification, biometrics or video processing Strong software implementation skills. Preferably 4 years+ research experience, including
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context
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. laser scanning, thermal imaging) for process monitoring and optimisation; • Excellent communication and collaboration skills. • Open to fixed-term contract. Desired: • Hands-on experience with
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 7 days ago
“Application deadline and submission” of this Call, the candidates must submit in the application process a Declaration of Honor regarding the benefited Research Fellowships, issued as defined in the model
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Applications are invited for a Research Associate/Fellow to join a research project in the Nottingham Nanoscience group (uonmmm.com) that focuses on imaging and spectroscopic probing of novel
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therapeutics. The experience includes opportunities to learn the operation and upkeep of physiological and cell culture instrumentation, apply quality assurance and quality control practices, and contribute
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to mitigate equine musculoskeletal health risks. · Collect and process data within the disciplines of epidemiology, diagnostic imaging and pathology, using state-of-the-art technologies. · Write
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. Additional optional skills and qualifications: Experience in computer vision for intelligent processing of documents. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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size exclusion chromatography) Conduct protein binding experiments (ELISA or SPR) Develop and optimize protocols for sample preparation and imaging by cryo-EM Collect and analyze cryo-EM data using a