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Field
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improve prognostication in critically ill patients by integrating cardiovascular risk factors into existing ICU prediction models. by combining cutting-edge data science with advanced clinical expertise and
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elements with controllable stiffness. The project will involve analytical and computational modelling, as well as designing and conducting lab experiments. Key questions include: How to create materials
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our current PhD candidates, over 70% are foreign and over 40% are female. What you will do You will execute a vigorous research program, under the supervision of one or more faculty members. Positions
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language. - While our current digital infrastructure relies on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those
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exploited is critical. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity language. While our current digital infrastructure relies
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, a key component of natural gas and a by-product of numerous industrial processes such as naphtha cracking, presents a compelling opportunity. Current practices, such as combusting methane to sustain
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collaborate closely with GGS partners across academia, industry, and government. Key responsibilities Developing life cycle inventories (LCA PhD) or material flow models (MFA PhD) in close collaboration with
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, conditions, and pathways toward more inclusive accessibility solutions for the public transportation sector. Synthesize insights from current practices, initiatives, and literature to identify key barriers
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recognition receptors (PRR) at the cell surface that perceive immune elicitors (also known as MAMPs or DAMPs) activating plant immunity. Currently, we have little understanding of the immune mechanisms in
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lepton flavour violation are powerful tools to advance our understanding and potentially discover hints of physics beyond the Standard Model. The LHCb experiment at CERN is uniquely equipped to study