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Performs a variety of moderately complex research tasks determined by the field and scope of the particular research project/study. Performs tasks related to the research project independently, but
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electrical engineering, automation, computer engineering, or a closely related discipline, with proven expertise in the operation and control of intelligent energy systems. Experience and skills Solid
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment
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, benefits, mentoring, and professional development. One institution-funded position is available with an initial appointment of two years and a possible extension for the third year based on performance
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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within the 2DPHYS and CAMD sections at DTU Physics as well as at DTU Compute and DTU Nanolab. Required qualifications Significant experience with theoretical and computational nanophotonics High level of
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems