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Field
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems
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other duties as assigned. Work Schedule 40 hours per week, worked between the time frame of Monday-Friday between the hours of 7:00 am and 7:00 pm. Flexibility is expected regarding schedules to meet
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Artificial Intelligence, with an emphasis on developing methodologies and techniques for Evolutionary Computation and Machine Learning. Work Plan: State-of-the-art survey of Evolutionary Algorithms and Large
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Centre of Principal Researcher: CITIC PURPOSE OF CONTRACT: Collaborator on activities related to the project/agreement stated. JOB LOCATION AND SCHEDULE: from Monday to Friday from 9:00 to 13:00
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of early pre-malignant development of ovarian carcinoma and development of early detection/screening tests/algorithms of ovarian cancer. Qualified candidates must have a Ph.D. degree in Biology, Cellular
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
. around Mars) through a set of cooperating communications relays, the burden on DSN scheduling can be significantly reduced. The use of frequency division (OMSPA) enables all probes communicating through
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build the sustainable companies and societies of the future. Subject description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and
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Control Laboratory). Subject description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling
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and engineer novel optical designs. You have proven experience with programming and a motivated interest in programming image analysis algorithms. You have proven experience, or show a motivated
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. Furthermore, he/she will participate in the development of computer vision algorithms for hyperspectral image analysis and mathematical models for knowledge inference, with the aim of estimating the key