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academic year. Tenure-track faculty normally teach 2 different courses, with each section typically consisting of 22-28 students. Faculty is required to conduct research, provide high quality teaching and
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. Prototype autonomous systems for in-space manufacturing and testing. Develop AI algorithms for navigation, guidance, and control. Lead collaborative research proposals for NSF, DoD, DOE, NASA and with other
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Nation by being a member of or chairing committees (e.g., NAACCR). • Responsible for the design, implementation and maintenance of data integration methodology, algorithms and software which allows
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this data. Clustering travel needs. To define different mobility needs and motivations based on the travel data, we apply different clustering algorithms (e.g., traditional k-means, density-based clustering
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initiatives, particularly in the field of Energy Systems - Energy Transition. The objectives are:; - Development and application of artificial intelligence algorithms for different use cases in the energy
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in these programs including advanced courses in the areas of fixed income management, derivatives/risk management, econometrics, blockchain/cryptocurrency, financial analytics, and algorithmic trading
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district heating networks, within the framework of the project "Data Analysis for Peak Load Stabilisation in District Heating Networks (DAS)". The work includes: design and implementation of RL algorithms
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invites applications for a Post-Doctoral Associate position, in the area of Quantum Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects
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to 3 different courses, with each section typically consisting of 22-28 students. Lecturers will be expected to provide high-quality teaching, student advisement, and learning support services, as
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, technical development, strategic planning, and attention to the long-term cultural impact of our field. Profile We are considering different profiles for this position. An ideal candidate is A: A research