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/Anders Lien 25th September 2025 Languages English English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as
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digital signal processing, control systems, and embedded AI for biological applications. Experience with AI/ML development frameworks, model deployment pipelines, and simulation environments for behavior
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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of public law wih direct links to international law. Of particular interest are applicants who are interested in the Asia-Pacific region; technology and digital economy; sustainable development; cybersecurity
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with digital PCR, multiplex PCR, and microbial community analysis required. Participant will also learn about statistical analysis of data in consultation with ARS colleagues. Participant will be a part
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speculative on either point will not be supported. Expressions of interest The significant support of the host institution is a critical component of these fellowships. As such, King’s has an internal process
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of the projects, acting as the first point of contact for all enquiries related to the research projects, research proposal, and provide support for the school's research operation management, including developing
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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techniques and the creation of a spectrum digital twin. You will also carry out experimental/proof-of-concept implementation work to demonstrate the applicability of your research. Your main research