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Stochastic Transport Operations Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a recently created team involving researchers from Inria (Rennes, France
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. Division V – Physics and Mathematics, Institute of Stochastics at Karlsruhe Institute of Technology invites applications for an unlimited University Professorship (W3) “Mathematical Statistics" (f/m/d) to be
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for Power and Energy Systems" research stream. The aim is to establish tangible prospects for leveraging Quantum Computing to address the modern day computational and stochastic challenges of electrical power
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, machine learning, control theory, or stochastic modeling. Crucially, the ideal candidate must have a proven track record of viewing civil infrastructure through a holistic, interconnected “system of systems
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Computing for Power and Energy Systems" research stream. The aim is to establish tangible prospects for leveraging Quantum Computing to address the modern day computational and stochastic challenges
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closely related field. Strong background in structural reliability, probabilistic modelling, stochastic dynamics, uncertainty quantification, or related areas. Experience in developing and implementing
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to compute feasible trajectories. Stochastic optimisation methods, such as Model Predictive Path Integral Control (MPPI), have been developed to mitigate these limitations by improving exploration
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on stochastic and deterministic simulation of indexed chemical reaction networks. Review relevant literature and existing computational tools to inform software design. Develop clear documentation, tutorials, and
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mathematics, as well as applied and computational mathematics, dynamical systems, and stochastics. The School’s cross-disciplinary engagement is reflected in its participation in multiple interdisciplinary PhD