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Field
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for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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to be agreed with the successful candidate. We invite applications for a Postdoctoral Research Associate to join the OCEAN project (On intelligenCE And Networks: Mathematical and Algorithmic Foundations
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optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
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(Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical
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will be hosted by the departments of: Engineering Informatics Mathematics Physics Chemistry Have received EPSRC studentship funding ending no earlier than 30th June 2022 (from an EPSRC DTP or CDT, an AI
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@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Additional Qualifications
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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and translation to practice in new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able