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in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
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-throughput screening workflows and preparing samples for metabolomic analysis. Skills in quantitative image analysis, data processing pipelines, and introductory computational modelling. Competence in
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arms, special procedure imaging, portable X-Ray machines, and associated support equipment. Apply By Date: 01/12/2026 at 11:59PM. Minimum Qualifications - For full consideration, applicants
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processing modules, notably with the PyNX software (http://ftp.esrf.fr/pub/scisoft/PyNX/ ); Support ESRF beamlines exploiting coherent X-ray imaging techniques; Conduct an original research project exploiting
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques
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opportunities exist for collaborative research within the University and with community partners, including active programs in artificial intelligence, quantitative imaging, and imaging informatics with direct
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to diagnose and troubleshoot problems with clinical photographic and digital imaging equipment. Working knowledge of Microsoft Windows operating environment. Well-developed computer skills. 4. Ability to assist
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relaying instructions to patients, following procedure protocols, injecting radioactive isotopes, acquiring images, processing images, reviewing images for accuracy, and ensuring image quality by performing
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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sense, and process information locally has never been greater. Traditional architectures that separate sensing and computation create bottlenecks in speed and energy efficiency. This PhD project aims