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Field
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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exploration and relevant disciplinaries Key Responsibilities: Develop novel imaging algorithms and validate them through synthetic experiments Extend these methods to real-world experiments to address practical
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at the Department of Technology Systems (ITS). The person hired in the position will work on theoretical algorithms for robust multiagent system coordination, and deploy these algorithms on a state-of-the art swarm
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We are looking for a Research Fellow to conduct in-depth research in Integrated Sensing and Communication (ISAC) and multiple antenna technologies. The role includes developing advanced
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. The position will focus on developing computational algorithms and tools for the analysis of mass spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational
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track record of research in terahertz z technology, eg THz modulation, THz waveguides, THz polarisors, THz antennas, and experience with terahertz time domain spectroscopy equipment including optical
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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Associate [Appointment period: each for three to twenty-four months] Duties The appointees will assist the project leader in the research project - “Research on key technologies of complex antenna systems in
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differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic Qualifications Candidates are required to have a doctorate or terminal degree in Computer Science