22 distributed-algorithm-"Prof" Postdoctoral positions at Technical University of Denmark in Denmark
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Stephan Sylvest Keller, DTU
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obtained from Prof. Volker Naulin at vona@fysik.dtu.dk . You can read more about DTU Physics at https://physics.dtu.dk/research/sections/ppfe . If you are applying from abroad, you may find useful
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development, and computational algorithms A solid understanding of theoretical chemistry and solvation models such as COSMO The ability to work independently as well as collaboratively within a
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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will develop algorithms and methods aimed at better detection and mitigation of GNSS interference events from either jamming or spoofing attempts. In addition to research within GNSS integrity
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(or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Tine Hald, e-mail
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have the opportunity to engage in pioneering research, collaborate with a dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies
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Engineering (ESE) is one of the 10 research section of DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical
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, the candidate will be leading the building of a database to i) guide neuroethological studies (behaviour and physiology) in honeybees at University of Konstanz, and ii) train algorithms aimed at modelling and