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Field
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: Hardware and embedded development: miniaturization of a multifunctional sensor (< 15 grams), real-time data transmission (Bluetooth/IoT), energy autonomy. Signal processing and sensor data analysis: analysis
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symmetric cryptography algorithms. Winners of the standardization processes sponsored by the U.S. National Institute of Standards and Technology (NIST), they are currently adopted by the U.S. and the European
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related field. - A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 7 days ago
. PhD Topic AI-based real-time embedded audio Digital Signal Processing (DSP) is an emerging field which promises to revolutionize our daily life. Embedded real-time audio DSP can be found in hearing aids
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contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next 3 years is to be expected. - A PhD training programme is part of the agreement and
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small water bodies are often the first point of entry for sources of pollution such as manure runoff (rural areas) or sewage overflows (urban areas), they also offer a starting point for a direct, source
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diabetic cardiac and gastrointestinal remodeling in companion animals” funded by the FEDER (COMPETE 2030) and national funds through FCT/MECI, operation no. 15280, with reference COMPETE2030-FEDER-00894900
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the previous point 6, and as additional specific requirements, have proven experience, through publications and/or scientific communications, in the oxidation/doping of carbon nanomaterials, preparation of metal
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diagnosis of sepsis is of great importance; therefore, there is an urgent need to develop new and sensitive diagnostic methods enabling rapid recognition of the disease at home, in point of care, and in