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analysis will be used to study the seismic response of prototype structures for different scenarios. Hence, the project integrates advanced element-scale, model-scale and in-situ testing with state
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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and
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that leverages the full spectrum of available data sources. The thesis should address the following questions: 1) How can one improve perception systems using data coming from different sources? 2) How
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips
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the analysis of gene expression and neuronal activity across different models, with the ultimate goal of contributing to the development of treatments that could modify the neurodegenerative progression
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for sleep apnea detection, monitoring and treatment: a multimodal approach for individuals with different health conditions” (mHealthSleep4U)” This fellowship is associated with the research project
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candidates must meet the requirements for an MSc degree. Good verbal and written communication skills in English are required. Other advantageous qualities include experience with coding (Python\Matlab) and
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their response to different environments, we try to replicate different environments under controlled laboratory conditions. By systematically confronting users with such environments, we aim to identify and
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, MATLAB/Simulink, etc.) and hardware prototypes Experimental validation of converter systems and control schemes in laboratory and relevant real environment Collaboration with Daikin Europe and Airobot