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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 8 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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the research project - “Inventory optimization in operations management”. Qualifications Applicants should have a doctoral degree in Management Science, or other related field, with at least six years of
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body regions. This position provides an exciting opportunity to work on a highly multidisciplinary translational research and development project. Key Responsibilities We are looking for a passionate and
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doctorate, with a view to consolidating their scientific training through the development of research work leading to the award of the respective academic degree, whether or not integrated into R&D projects
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: Design, perform, and optimize experiments with scientific rigor; Collect, analyze, and interpret experimental data; Communicate findings clearly through technical reports, papers, and presentations; Work
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop real-time optimization algorithms • Model multi-vector energy-water-hydrogen systems • Support the development of digital twins • Test the
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 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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optimized for single-molecule mechanical manipulation. Develop, refine, and implement automated data analysis pipelines using Igor Pro (or MATLAB, Python). Mentor graduate and undergraduate students within
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electromagnetic and thermal simulations. This work will include detailed tissue segmentation from medical images, integration of automatic and semi-automatic segmentation algorithms, refinement of anatomical