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Field
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communication and sensing performance. You will design and analyse new algorithms for beam forming, beam focusing, localization, and sensing using XL and distributed reconfigurable antenna arrays. The aim is to
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put emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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for communications metrics Hardware-aware evaluation (desired): participate in SDR/hardware-in-the-loop experiments and help bridge algorithm design with realistic RF/platform effects. Required qualifications Ph.D. in
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intelligence and machine learning, algorithms and theory, databases and information systems, computer architecture, embedded and cyber-physical systems, computer vision and graphics, programming languages and
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count, area distribution, inter-cluster distance) to cellular Potts model (CPM) simulations of spheroid growth and drug responses. Integrating multi-modal data streams, such as live-cell imaging, bulk and
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— the community pioneers emerging fields, develops the algorithms that power the information age, and is committed to creatively and thoughtfully exploring technology’s potential to advance our world. Cornell
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Overview We are seeking an experienced researcher to lead the development of decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international
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maintain water distribution systems (WDSs). For the first time, a unique holistic approach will find the key interrelationships between external, day-to-day and extreme, factors and WDS failures, to advise
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and algorithms (e.g., clustering, decision-tree learning, artificial neural networks). Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, PostgreSQL