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Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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or improvement of existing or new algorithms or computational strategies; collaboration with international partners. Your team You will work within the Bioinformatics chair group at Wageningen University, in
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germanium, and executed quantum algorithms on a four-qubit quantum processor. As a Postdoc researcher, you will explore opportunities with semiconductor quantum technology and aim to push the boundaries in
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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to the mathematical foundations of entropy, randomness and irreversibility, with possible directions including large deviation theory, algorithmic randomness, ergodic theory, quantum entropy, operator algebras and
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( STAR ) and the Automated Design of Algorithms ( ADA ) research groups. Moreover, there are plenty of opportunities for interaction and collaboration with other groups at the institute and internationally
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team at the University of Twente, you adapt existing quality control algorithms and develop additional validation methods. You participate in recurring online meetings with scientists and technicians
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worldwide. Your work will include: Apply existing machine learning algorithms for automated detection of CO plumes in satellite observations Building a global catalogue of CO emission events from 2018 onwards
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of the project. The Mathematical physics position will contribute to the mathematical foundations of entropy, randomness and irreversibility, with possible directions including large deviation theory, algorithmic