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(FANS) is one of Europe’s largest research groups and one of the few teams in the world bringing together leading experts in brain development and pro and antisocial behaviours. We believe it is
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modeling and simulations (e.g., DFT, MD, AIMD) to provide molecular-level insights into polyamide interfacial polymerization, interfacial structure evolution, and transport mechanisms, in close integration
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Republic. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function
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prevention including the development and validation of risk prediction models; and clinical implementation research of targeted screening and behavioural interventions to increase cancer screening relevant
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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, where she worked on the development of Alouette, Canada's first satellite. The fellowship was announced as part of the 50th anniversary of the Canada-Germany Science and Technology Agreement
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development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD Research Fellow
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Development and training of AI/machine learning models Real-time validation of algorithms to ensure reliable physiological monitoring under real-world conditions The role offers the opportunity to contribute
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical
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the brain, and behavioral development. Basic Qualifications Successful candidates will have recently obtained a PhD. in a relevant field including, but not limited to, neuroscience, biology, and psychology