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Field
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evaluation of alloys; familiarity with finite element methods. Skills and experience in programming, machine learning, or signal processing are all considered a plus. Outstanding UA benefits include health
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FieldPsychological sciences » PsychologyYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in neuroscience, computational neuroscience, signal processing, biomedical computing, applied
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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project supported by funds from the Economic and Social Research Council (ESRC). The project aims to examine emotion processing and emotion regulation in people with convictions for sexual and violent
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to employment preference must clearly indicate so in their application and submit all relevant supporting documents. The Faculty reserves the right to conduct interviews and professional testing for candidates
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project supported by funds from the Economic and Social Research Council (ESRC). The project aims to examine emotion processing and emotion regulation in people with convictions for sexual and violent
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 1 month ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek. According to the requirements of this funding program, candidates should
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Nonstationary signals are at the forefront of modern statistical analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of
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, telecommunications or related field. Other requirements include Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design