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at European XFEL enable scientists from across the globe to carry out a wide range of experimental techniques. For our Data Analysis group we are looking for a PhD Student (f/m/d) for development of strategies
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thesis forms part of the Nexus network, which comprises five researchers and three PhD students working on a shared theme: ‘The microbial EXposome and the determinants of persistent infections in humans
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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topics: Analysis and implementation of advanced quantum networking protocols. Trade-offs in quantum resources required for distributed architectures. Topic 1 is primarily of experimental nature and Topic 2
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Perceptions of race and gender among the wider ADF Transnational analysis comparing how the War on Terror was interpreted in different countries Histories of terror groups that emerged during the War on Terror
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sound statistical models and methodology for the data-driven analysis of complex and dynamic systems, with the goal of enabling predictive, prescriptive, and pre‑emptive analytics. We work closely with
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statistical methods for genetic and genomic data analysis; proven ability to build and maintain collaborative networks across academia, industry, and international partners; strong organizational skills and the
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and
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, and data privacy considerations for clinical deployment. Expected Impact The research will produce novel AI methodologies, commercially viable software for ICRI's global cancer centre network, improved
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young versus older adults using EEG. Analyses will focus on Event-Related Potentials, time-frequency analysis and functional connectivity measures within a cognitive-motor dual task paradigm. To enhance