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Field
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dataset analysis, machine learning tools, and relevant computational biology approaches • Document, compile, and format data analysis in presentations and reports to supervisor. • Mentors and trains
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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framework or knowledge graphs; 2) Uncertainty analysis and risk modelling; 3) Port and maritime operations; 4) Cybersecurity or critical infrastructure protection; and 5) Machine learning and real-time data
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, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno-economic study, design and analysis of integrated systems. Experience with energy system
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, applying Big Data, Machine Learning and Large Language Model techniques, and developing measures of social connectedness using anonymised data from online platforms. The position is full-time with flexible
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Staff Union Non-Union Non-Classified Staff Pay Grade Level Grade Level: 99 Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact
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. ICDS seeks outstanding early‑career researchers with expertise in Artificial Intelligence and Machine Learning in the following computational and data‑driven discovery areas: Earth Science Computational
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: The appointee will be involved in the full lifecycle of research projects, from study design to publication. This includes development of machine learning models, computer simulations, and app/software
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A Research Fellow position is open in a research lab at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with
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theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. Modern vessels produce vast amounts of multivariate data streams. The project