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to staff position within a Research Infrastructure? No Offer Description You will develop a mathematical framework for multiple testing, enabling flexibility in study design, analysis, and model choice
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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 16 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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have advanced (theoretical) knowledge of multiple of the following subjects: Structural Biology, X-ray crystallography, Cryo Electron Microscopy, Biophysics, Biochemistry. You are experienced in
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, education, mathematics, and physics—to address two fundamental questions: How did life emerge on Earth? And how likely are similar conditions elsewhere in the universe? PRELIFE takes a highly
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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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surveillance radars to satisfy multiple competing requirements and navigate the performance trade-offs of complex operational scenarios; B) develop techniques for waveform adaptation based on suitable
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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
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and motivated theoretical biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data