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different resolutions to examine the role of thalamocortical interactions in different cognitive processes. MRI and behavioral data collection Preprocess, analyze, and interpret behavioral, functional, and
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. Modeling the energy consumption of Smart Cities at different granularity levels (entire city, neighbor- hoods, blocks, buildings). Analyzing and performing benchmark tests on data collected by industrial and
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you do As a PhD candidate, you will explore how individual differences in brain responses to TMS can inform personalized epilepsy treatments. Specifically, your work will involve: Simultaneous TMS and
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and the optimal stimulation settings for epilepsy treatment remain unclear. What you do As a PhD candidate, you will explore how individual differences in brain responses to TMS can inform personalized
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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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field. Solid background in digital IC design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English
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a difference: whether you’re exploring the future through research, inspiring students in the classroom, or helping shape everything that makes our education and research possible. PhD in
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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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master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific