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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
strong links to theory groups at the institute and astrophysical interpretation and modelling work may also be included. PhD in Physics or Electronic Engineering. Knowledge of relevant technologies and/or
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experiment at CERN in Geneva, Switzerland. The Omega Group has major responsibilities in detector operations and software development, and has leading roles in the ATLAS High Luminosity Large-Hadron Collider
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions
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profile PhD in Mathematics, Theoretical Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding
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onshore and offshore natural gas system can be repurposed for hydrogen, where new assets are required, and how to ensure the new energy system operates safely, cost-effectively, and with public support
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. - Research Areas: Positions are focused around the fields of bifurcation theory of the vector fields and qualitative theory of ordinary differential equations, especially the weakened Hilbert 16th problem
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quantum information theory, algebraic topology, polyhedral combinatorics, graph theory, and optimization are strongly encouraged to apply. For more details on the project, visit open positions page . To be
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engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and
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theory and practice and for its outstanding interdisciplinary applied research. The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence
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candidate will work with Prof. Tapio Pahikkala (http://staff.cs.utu.fi/~aatapa/ ) and Dr. Nina Dresing (https://www.utu.fi/en/people/nina-gieseler ) in their Research Council of Finland project AIPAD, which