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will include electron microscopy, expansion microscopy, in situ fluorescence labelling of neuronal cell types using RNA and antibody probes, image segmentation and neuronal tracing, and network analysis
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an interdisciplinary and international environment. Candidates should send their applications by April 30th through https://cv.newton-6g.eu/ Incorporations will begin in May 2026. DC1: Data-driven models for CF networks
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(Networks) provides technical leadership and coordination for the university’s enterprise network services, including campus networking, data center connectivity, wireless infrastructure, electronic
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various fields ranging from elemental analysis to radiochemistry Where to apply Website https://apply.refline.ch/673278/3870/W8edd1p-Vy6MYTPNc0R9TIj0ySgjdwThQdo66LIUiD… Requirements Research
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industry standards such as TCP/IP, FTP, HL7, and ASTM. Proficiency with network analysis tools (e.g., Wireshark) to diagnose and resolve packet-level communication issues. Experience and knowledge
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eNSEMPLE. It is an interdisciplinary project at the interface between Statistical Physics, Data Science, Network Science, Computer Science and Sociology, and will involve collaborations with researchers from
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possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal
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theories, working with social network analysis tools, and examining cyber campaigns conducted on social media; A candidate with experience in operational research, optimization tools, information theory
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coordination across complex clinical and IT workflows. Experience in integrating applications with EHR systems using industry standards such as TCP/IP, FTP, HL7, and ASTM. Proficiency with network analysis tools
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as