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will involve the development of advanced data analytic and machine learning techniques applied to the processing of sensing signals obtained from advanced fibre-optic communication systems. You will be
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and Telecommunications Architectures for Tectonic and Infrastructure Characterisation - https://ecstatic-project.eu/ ) The role will involve the development of advanced data analytic and machine
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for candidates who combine field experimentation with advanced data analytics and system integration. We invite applicants to join us as a Research Fellow (full-time). You will be part of the Fraunhofer-NTU
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analyses, and operating a quadrupole inductively coupled mass spectrometer (ICP-MS). The postdoctoral researcher will also develop their own research program, with research support available for analytical
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, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability to work in a team as well as independently. Able to work under pressure
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and post-processing software. Able to work independently with strong data analytical skills, communication and interpersonal skills. Key Competencies: Proficient in Ansys Fluent or FDS Simulation Strong
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, Artificial Intelligence, Data Science, Computational Biology, Biomedical Engineering, or a related discipline. Strong research expertise in machine learning, deep learning, or computational modeling with
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Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need to have completed
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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. Job Requirements: Ph.D. in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Proficiency in programming languages such as C/C++ and Python. Independent, highly analytical