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Field
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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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focus on research and development in Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization (AP-MALDI) mass spectrometry and molecular imaging, using high-resolution Orbitrap MS instrumentation
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techniques for magnetic resonance imaging and spectroscopy (MRI and MRS) and their preclinical and clinical evaluation in neuroscience. Since 2020, we have also been part of the Multidisciplinary Institute
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research prototype, a system designed to integrate GDPR compliance directly at the operating system level. Main tasks : - Getting familiar with the rgpdOS prototype - Designing BPF functions to extend
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at the intersection of biology, and medicine? We’re seeking a talented Scientist to join our dynamic team! Our mission is to develop novel PET imaging agents for widely metastatic cancers and to develop novel
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supporting documents that the candidate considers relevant to the assessment of his/her merit (if applicable). 18.4. Documents can be integrated into folders with a compressed format (zip, rar, 7z), but it is
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 22 hours 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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packaged in compressed folders (zip, rar, 7z), but the system's upload limit, which is set at a maximum of 720MB per file or compressed folder, must be taken into account. Each application may submit