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Field
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astronomy, astrophysics, engineering or a related field is required. Candidates should have obtained a PhD within the past five years (PhD received on or after September 30, 2022) or expect to complete
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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interdisciplinary, fundamental and high-risk research with some level of independence and autonomy. Project background The Centre for Origin and Prevalence of Life at ETH Zurich is an innovative collaboration between
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applications including asset pricing, volatility modelling, risk management etc. Developing the framework of economic world models, with generative AI algorithms such as diffusion models and theory-informed
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experience. For appointment at Academic Level B, you will typically demonstrate: A completed PhD in a relevant discipline. Experience leading or coordinating research activities and working collaboratively
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the associated levels of assurance, verification and acceptance criteria; developing hazard analysis methodologies tailored to AI-based systems, extending traditional approaches, such as FMEA and FTA, to address
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, you will have as a minimum: A PhD, or evidence of imminent PhD completion, in quantum information, physics, mathematics, computer science, or a closely related discipline. Demonstrated research
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on a project in the area of cross-border electricity market. The role will focus on cross-border electricity market design, market risk analysis, bidding strategies, and relevant optimization algorithms