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Field
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-stack data analysis systems and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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Thesis/Final Degree Project) related to the subject matter (punctuation: 45) Item 04: Training in microscopic techniques, image analysis, TILIA, GIS or sedDNA (punctuation: 15) Item 05: Personal interview
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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annotation of standard scan ultrasound images and blind-sweep videos, verify and quality-assure external annotations, and codify clear labeling standards. Clinically, you will advise on publications and
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selection process for an indefinite employment contract within the framework of a Line of Research R+D line: ECGI Precision Imaging for Cardiac Arrhythmias https://www.upv.es/entidades/SRH/conypi/A1268343.pdf
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an advantage. The selected candidate will perform the following duties: -Explore high-dimensional phenotypic data (genomics, transcriptomics, methylomics, metabolomics, proteomics, and imaging, across multiple
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meetings at the University of Alicante. 2.6. Tasks to be carried out: Design and development of machine and deep learning models. Processing of volumetric data and images. Extraction of biomedical markers
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genetic testing, muscle imaging, and functional assessments. As a clinical scientist within the team, the candidate will contribute to translational research projects, natural history studies, and clinical
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: experience in the application of additive manufacturing to the biomedical field. Valuable: Empoyment of techniques for processing medical images. Ideally: previous experience in projects linked to mechanical
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with a Master’s degree. b) EXPERIENCE • Minimum of 3 years of experience in experimental and translational research projects. • Experience in cell cultures and processing human samples (blood and tissue