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Field
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computational methods to develop critical medicines for improving global health and equality. For low-income populations in developing countries, access to life-saving medicines is often fraught with obstacles
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, spinal cord injury etc) through real-time neural control of wearable robotic exoskeletons. You will be developing next-generation (low and high-level) control algorithms for wearable exoskeletons that use
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software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
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developed so far to more general geometric settings, including discontinuous coefficients, obstacles with Dirichlet or Neumann boundary conditions, and possibly manifolds. Details on the scientific project
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setting up and managing the research group's web page and social media accounts More broadly, the successful applicant will also be expected to: Maintain a strong focus on publishing in leading journals and
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, production and evolution in the Quark Gluon Plasma produced in heavy ion collisions. The project includes interdisciplinary applications to other fields featuring strongly correlated systems (in BSM or in
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, passionate about applying advanced technologies to sustainable manufacturing. About the Role You will play a key role in research, development, and integration within the Circular Robot 5.0 consortium
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is competitive with additional funding available for professional development. The review process will start in March 2025, and continue until the positions are filled. Minimum Qualifications: To be
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position in the Fast Sensors R&D group at SCIPP. As a leading academic facility for R&D in sensor and detection system design, SCIPP has made major contributions to particle detector development. The group’s
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research