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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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including dynamical and cosmological horizons, gravitational entropy, Noether charge methods, holographic coarse-graining, chaos, black hole heat engines and quantum field theory in curved space-time. These
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Psychology, Work & Organizational Psychology, Management, or a related discipline strong expertise in quantitative research methods and statistics experience with scale development, psychometrics, and/or
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teams that will directly test model predictions. Your qualities We are looking for a postdoctoral researcher who enjoys developing methods for complex biological data and working closely with experimental
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and applications of Remote Sensing, who is also enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in
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of clinically relevant targets for cancer immunotherapy. In this role, you will support the team by driving mass spectrometry-based method development and contributing your expertise to a range of proteogenomics
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In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover
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simulation/computing team! We pioneer methods to manipulate individual strontium atoms in optical tweezers [Phys. Rev. Research 4 , 023245 (2022) , SciPost Phys. 19 , 118 (2025) , arXiv:2512.14611 (2025
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as a pathfinder for novel technologies and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep
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emissions. Several strategies such as (1) direct ocean carbon capture, and (2) ocean alkalinity enhancement, manipulate ocean carbonate chemistry via electrochemical methods or alkalinity addition (enhanced