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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
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directly and relate them to structural and functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based protein design algorithms. Techniques
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from
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is encouraged to apply. A successful candidate would develop a research and teaching agenda around: Co-Designing algorithms and hardware for processing massive amounts of high-dimensional streaming
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
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development over the last two decades. This research topic aims to define novel approaches to developing and combining these intelligences, utilizing both 1st and 2nd wave AI approaches, in the context
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. This position will report to Dr. Reinhard Laubenbacher in the Laboratory for Systems Medicine. The Laboratory for Systems Medicine strives to improve human health via the development of mathematical algorithms
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to the advancement of digital imaging technique and computing power. In this project, high speed stereo imaging for flame studies developed in Prof. Zhang’s research lab will be further developed for more quantitative