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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations
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: Writing, debugging, optimizing and testing of source code with an emphasis on audio applications. Maintenance and improvement of existing audio algorithm code base including noise reduction, acoustic echo
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Responsibilities: Identify the weakness of existing watermarking and adversarial protection methods Develop new deep learning algorithms or improve existing algorithms to address the weaknesses. Prepare codes and
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Mathematics Position Type: Postdoc Location: NTU, Singapore Deadline: The position is open until filled Research positions in Statistical Learning at the School of Physical and Mathematical Sciences of NTU
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Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by
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algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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that engender trust and espouse the values of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research into trust technologies testing – translating research algorithms, and
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and optimization algorithms Optimization of indoor farms Provide regular project updates to principal investigator and funding agency Report writing/presentation Job Requirements: Diploma or Bachelor’s
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, development of algorithms, publications and/or patents. Strong algorithm development and programming skills in MATLAB/Pyton and C++ Working knowledge of state of the art machine learning techniques Familiarity