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machine learning model for domain adaptation in brain image analysis and reconstruction. Development of a platform for the collection, harmonization, and processing of hospital data. Definition
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- Análisis y procesamiento de imágenes médicas incluyendo el desarrollo de las metodologías o algoritmos necesarios ---------------------- - Patient data analysis - Medical image analysis and processing
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the experimental characterisation data of the prototype developed and tested on the URV test bench. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number of offers available1Company
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proteomics datasets. Key responsibilities will include: Pre-processing and performing quality control on raw imaging data. Implementing and optimizing image segmentation pipelines to accurately identify
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code CNS2023-145362, funded by the State Research Agency, in the following professional category: Postdoctoral Researcher Functions to be developed: Experimental and cellular functionality assays
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is expected. Tasks to be performed: - Generation of transgenic plants – including cloning. - Transgenic line analyses through biochemical and imaging approaches. - Development of chromatin binding
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are looking for 2 research trainees. These positions have been created to advance our understanding of how circadian and
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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Fundacion para la Investigacion Biomedica del Hospital Universitario Ramon y Cajal (FIBIOHRC) | Spain | about 5 hours ago
skills: - Medical graduate with demonstrable knowledge of cardiology. - Experience in cardiac insufficiency, cardiovascular imaging, and clinical research. This job offer is within the European project
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material