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Field
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
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will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade
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also include developing new controls for advanced Personalized Environmental Control Systems (PECS) including wearable heating and cooling systems. This will include identifying optimal input signals
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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from the ovarian stroma and transform these signals into biochemical signals within the follicle (See Amargant et al., 2020, Aging Cell; Pietroforte et al., 2023 Under review PNAS). 2. How does oocyte
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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behaviors of MEMS structures. Hands-on experience working with signal processing and RF testing instruments. Strong communication skills for working in a multidisciplinary team environment. Ability
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We are recruiting a lead post-doctoral researcher with a background in nutrition for an ESRC funded project on ultra-processed food, nutrition and eating behaviour. The researcher will join the
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
the research to their interests, and can contribute to all aspects of the mission, including other aspects of science analysis, improvement of engineering processes, and data processing. SPARCS emphasizes