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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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contribute to governance. We welcome research projects that use intelligence as a lens to understand political and social transformation in an era of complexity and uncertainty. We particularly encourage
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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“ambivalent neighborhoods of Judaism, Christianity, and Islam” in historical and contemporary contexts. Based on the concept of “neighborliness”, the center investigates the relationality of complex religious
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vivo two-photon imaging of neural activity dynamics, imaging of neuromodulator releases, optogenetics, computational modeling of complex animal behaviors and neural dynamics, and network simulations
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research knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. · Use and continually develop
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processing. In addition, the postdoctoral researcher will be responsible for processing and analysing complex fNIRS data, as well as related behavioural and observational data, and developing methods to model
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reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering! About us Our research group at the division of Chemistry and
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, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical
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-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic