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Field
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and take ownership of work Interest in AI, machine learning, image/audio processing Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408369/research-engineer-r… Requirements
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to root patterning. Integrate molecular and imaging data into a spatio-temporal developmental framework. Research environment and approaches The project is highly interdisciplinary. The successful candidate
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. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image
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related fields. Additional optional skills and qualifications: Experience in deep learning for medical imaging. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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mechanisms. Performing experiments using mouse models. Applying molecular, cellular, and immunological techniques, including flow cytometry, imaging, and genomic approaches (e.g., single-cell RNA-seq
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imaging, lipid biochemistry, structural biology, and model systems (neurons, blood cells, immune cells, trophoblasts, and more) to uncover membrane mechanisms and develop new therapeutic strategies. Minimum
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the full Portuguese version has official value for the evaluation and selection process. Title: B-0038-26 – Research Grant (BI) – 26/03/2026 – CoolEnergy – CENTRO2030-FEDER-02976700 Funding Reference
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days ago
models (LLMs) to enhance case definition processes by developing a prototype that demonstrates the capability of LLMs to accurately categorize and classify case definitions. The selected fellow will
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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landscape through the application of digital technologies and participatory methods, and to promote collaborative processes among researchers, decisionmakers, and communities. Expected outcomes include new