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of senior lab staff. This includes setting up the animals within the experimental apparatus, all aspects of imaging and computerized data acquisition. Analyze and process experimental data obtained. Trouble
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training in a wide range of multidisciplinary skills including genetics, cell biology, live imaging, molecular biology, computational modelling, data analysis, scientific writing and communication as
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meritorious but not mandatory). Demonstrated expertise in image analysis, data science, or related computational research, with a strong track record in developing, applying, and supporting analytical methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
program in applied biomechanics and rehabilitation engineering. Special Physical/Mental Requirements Campus Security Authority Responsibilities This position is designated as a Campus Security Authority in
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing software and techniques. Background in plant biology and physiology, especially related to stress
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Demonstrated experience using a computer, including data entry and retrieval Ability to maintain a work pace appropriate to the workload Ability to establish and maintain effective working relationships across
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physics and other science applications. More specifically, the projects will involve designing, building and testing of novel HTS cables, coil modules, prototype assemblies to demonstrate and validate
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. The fellowship candidate must hold a Ph.D. in Agricultural Engineering or related fields, with expertise in irrigation, remote sensing, image processing, and precision agriculture. Experience in programming
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for strengthening activities in relation to their specific expertise (e.g., computational imaging, deep learning, numerical optimization) Where to apply Website https://concorsi.unige.it/home Requirements Additional