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Field
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identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As agile development scales to larger, more complex organizations
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
. The neuromorphic component will address the design, optimization and deployment of Spiking Neural Networks (SNNs) and event-based algorithms on embedded processors and specialized accelerators, including data from
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for tumor behavior and clinical outcomes Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology
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quantum matter and quantum computation. Our research includes (1) AI for Quantum: developing advanced AI algorithms grounded in physical principles and machine learning theory to tackle key challenges in
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observations. Responsibilities may include (but are not limited to): development and instruction of courses (if Instructor of Record); grading of examinations, reports, and/or assigning final grades; preparation
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | 2 months ago
focuses on the design, fabrication, and validation of a microfluidic device intended for biomedical applications, in particular for studying skeletal-muscle functionalities. Where to apply Website https
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standard for modelling the composition and topology of digital services to support threat hunting and risk assessment algorithms; 2) to develop the software to automatically and dynamically discover data
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
tasks include: (i) developing federated data profiling and quality estimation algorithms that operate without centralizing sensitive health data; (ii) designing quality-aware aggregation strategies