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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
clinicians, academics and health care leaders of the future who work in partnership with their patients and colleagues to provide optimal care for individuals while strengthening the system and society they
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. Formulate detailed R&D experimental plans and carry out system setup, signal acquisition and processing, as well as algorithm design, implementation, and optimization. Assist the team in the establishment
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 24 hours ago
analysis and system evaluation: Collect and analyze thermal, biological, environmental, and material-performance data; evaluate system performance and identify opportunities for optimization. • Research
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characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes. Develop and optimize experimental setups, testing protocols and data
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nitrogen-rich fertilizer essential for optimizing crop yields and sustaining global food production. Currently, urea is predominantly synthesized through the Bosch-Meiser industrial process, which relies
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, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken English - essential for data analysis and communication with stakeholders Interpersonal skills with
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already been implemented, although some optimization may be required; Characterization of upstream salt transport mechanisms and total fluxes, based on an integrated analyses of field observations and model
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for back-end-of-line (BEOL) integration with CMOS. Key responsibilities include: • Develop and optimize ALD processes for oxide semiconductor channel materials (e.g., IGZO, ITO, IZO) and BEOL-compatible
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devices, and advanced electrical detection techniques. Key Responsibilities • Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets