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dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven experience in identifying nervous system
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Python and/or MATLAB. System evaluation using precision electronic measurements; and network, spectrum, and logic analysis. Development of multiplexed microwave and baseband signal and data acquisition
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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based on an individual-centered spatial analysis approach (geomatics) using AgentBased Modeling to model mobility and its evolution. The postdoctoral researcher will intervene in the second phase
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 7 days ago
was installed at IT4Innovations in 2025. For more details, see www.it4i.eu . Activity description: · modelling and optimization of electrical networks using open source tools (preferably Julia or Python
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datasets to ensure they are suitable for analysis; and conduct statistical analysis using a range of descriptive and advanced modelling techniques, interpret the results, and write up findings in a clear and
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without
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of Cybersecurity that includes Network Design/implementation, Systems Security, Network Security, Security Strategy/Analysis and Cyber Threat Intelligence. SUNY Suffolk is a comprehensive community college
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and