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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
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Overview You will be a member of the Particle Physics and Particle Astrophysics (PPPA) group in the School of Mathematical and Physical Sciences. We are seeking to appoint three fixed term Research
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
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, that used multiple atmospheric [CO2 ] records from the Amazon, indicates that the region’s southeast is still a carbon sink, attributing the excess of atmospheric carbon observed to emissions from
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, working at the intersection of multiple fields;- Connecting and collaborating with other national and international researchers in the life sciences and computer science;- Writing and presenting/publishing
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PhD Studentship: Optimising Observations To Improve Early Warning Skill of Predicting Tipping Points
This is a 3.5 year PhD studentship that will focus on developing methods for understanding the impact of observations, including those from multiple static and mobile autonomous platforms, in
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 19 hours ago
condensed matter physics. We are looking for highly talented and motivated students from all around the world to join our affiliated research groups. Multiple PhD positions will be awarded on a competitive
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): Automated bidding strategies for participating in multiple markets (hydrogen, electricity) over different time scales, such as short-term forward markets and spot markets (operating in real-time). This can be
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics