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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
position on 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
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validation of the Three-Component Model (TCM). Advanced approaches, including mixed-effects models, spectral, cosinor and stochastic modelling, will be considered. The researcher will also contribute
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Two Research Associate Positions - Automated Formal Verification, Stochastic Games, Algebraic Reasoning, Security Two posts starting from October 20th 2026 to conclude October 19th 2027 with
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Apply Now How to Apply Submit your application to Interfolio here: https://apply.interfolio.com/194464 . A complete application packet includes at least the following six items: (1) a cover letter
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Apply Now How to Apply Submit your application to Interfolio here: https://apply.interfolio.com/194357 . A complete application packet includes at least the following six items: (1) a cover letter
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Classification Title: Assistant Professor in the area of Probability and Stochastic Processes Classification Minimum Requirements: - A PhD degree in Mathematics or a closely related field
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, 2026, with the earliest start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 6 hours ago
, environmental modelling, mathematical physics, probability and stochastics. The MSI has approximately 51 academics and is located in a modern, award-winning building with excellent research and teaching
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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