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through development of data and information science, advancing innovative computing paradigms and developing new contextual learning algorithms and methodologies that can transform society. SDSC will serve
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of
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pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
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. Hiep Luong (Dept. of Telecommunications and Information Systems, FEA); Prof. Dr. Thomas Hermans (Dept. of Geology, FW) Project summary In this research, we develop and optimize geophysical survey
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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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) at the Institute of Sensors, Signals, and Systems (ISSS) of Heriot-Watt University in Edinburgh. We seek outstanding self-motivated individuals developing world-leading research in either of the following areas
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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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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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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