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Field
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Main description: G protein-coupled receptors (GPCRs) are a large family of integral membrane proteins comprising seven transmembrane α-helical domains that relay extracellular signals
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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; 2) English proficiency (punctuation: 30) Item 02: 1) Knowledge in signal processing; 2) Knowledge in digital communications in general, and multiantenna multicarrier in particular; 3) Knowledge and
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methods for load identification and modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM
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and reliability. You will integrate, adapt and develop methods (using packages such as BioSPPy) for the processing and analysis of physiological signals measured for determining deception. The project
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modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM framework to accommodate new components
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environment Proven ability to use a scientific programming language such as python or MATLAB for signal processing A desire to improve therapies available to patients with neurological conditions Excellent
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. Project title: Cell-to-cell heterogeneity of cross-wired cytokine signaling: filling the gaps between molecular origins and translational implications In multicellular organisms like the human body
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technology. As a PhD student, you join this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. You will join the Signal Process Systems (SPS
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Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. You will join the Signal Process Systems (SPS) group in the Electrical Engineering Department of TU