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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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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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; Model relevant processes (e.g., bedload sediment transport, sediment connectivity); Mentor MSc and BSc students (potentially also PhD researchers); If desired, take on teaching responsibilities in
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mammalian and bacterial expression systems and cell-based in vivo models of mechanotransduction. You will join a very lively and motivated international and interdisciplinary group of scientists. We use a
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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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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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: 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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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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additives, electrochemical evaluation, and mechanistic studies to advance the fundamental understanding and industrial scalability of CO2-to-methane conversion. Where to apply Website https