120 genetic-algorithm-computer-"UCL" Fellowship positions at National University of Singapore
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
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postdoctoral fellow to join the Genome Re-InnovaTion-Lab (https://grit-lab.org/), part of the Synthetic Biology Translational Research Programme (TRP) at the National University of Singapore, Yong Loo Lin School
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University of Singapore is dedicated to the interdisciplinary study of humans and algorithms on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a
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particular focus on the genetic contribution to disease progression in sporadic ALS. This role represents a compelling opportunity to contribute to groundbreaking, high-impact research projects within
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particular focus on the genetic contribution to disease progression in sporadic ALS. This role represents a compelling opportunity to contribute to groundbreaking, high-impact research projects within
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supervised by both Prof Savulescu and A/Prof Earp, broadly looking at ethics of, and public attitudes toward, novel technologies -- such as AI and genetic testing -- from both a philosophical and moral
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sections from bioinformatic data analyses. Qualifications Degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. Previous experience in