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Objectives: The goal is to investigate super-Planckian radiative heat transfer phenomena in nanostructured media and metamaterials. Build models of nanostructured radiative heat emitters and receivers. Perform
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both natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The
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to apply for a post-doctoral position(s). The areas of interest include grand unification, supersymmetric and extra-dimensional models, flavor physics and CP violation, baryon and lepton number violation
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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microscopy to generate new insights into how cells coordinate and repair DNA double-strand breaks? Using baker’s yeast, Saccharomyces cerevisiae , as a model organism, the project is designed to uncover novel
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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and virtually. In doing so the traditional energy-supply business models will also evolve, as these plants will be able to stack additional revenues from their flexibility and capacity to perform sector
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. For the project The Role of the Ocean in Earth System Stability PIK’s Research Department 1 Earth System Analysis, is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d) (Position number: 05-2026
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: 282551287 Postdoctoral Associate: Integrating political economy insights into energy modeling D-26-SPI-00009 | Research | Princeton School of Public and International Affairs The Peng group in the School
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood