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. Practical experience setting up high-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory
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to neural time-series and imaging data using MATLAB tools and python. Design, develop, and implement computer algorithms and software for analyzing multimodal neural data, including EEG and optical imaging
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of immunohistochemistry on human, piglet and mouse tissue samples, confocal microcopy to image processed samples, and stereological analysis of relevant samples. •Assist in qualitative studies operations like participant
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information on the objective assessment criteria, taking into account the qualifications and competences of candidates; can be found on the website: https://hrs4r.agh.edu.pl/ The recruitment procedure is
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), ten images of student work (with captions), and the names and contact information for three references who have agreed to provide letters of recommendation upon request via interfolio at https
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, pipelines, imaging datasets). Application deadline: March 1, 2026 For any informal enquiries, please contact: alex.schier@unibas.ch Where to apply Website https://academicpositions.com/ad/university-of-basel
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frameworks is essential. Experience of working with UK Biobank imaging or similar large-scale population would be desirable. Diversity Committed to equality and valuing diversity Application Process You will
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opportunity for a INTERVENTIONAL RADIOLOGY TECHNOLOGIST WORK SCHEDULE • FULL-TIME; 100% FTE; 40 HOURS PER WEEK • Day Shift DEPARTMENT DESCRIPTION • Advanced imaging and diagnostic services in North Seattle
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 18 hours ago
, imaging, open surgery, and endovascular intervention. We place a strong emphasis on clinical quality outcomes, innovation, and exceptional patient experience. Practice Environment: Faculty members
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and heritage collections, basic knowledge of English (processing documents in English), knowledge of rules and best practices for image capture and photography Where to apply Website https://rubis.univ