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for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state-of-the-art AI techniques. Mastering of a
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired. • Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial
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one programming language, such as Python or R • Experience with mathematical or statistical modelling • Excellent written and verbal communication skills • Highly organised, with the ability to work
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bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies. Assist researchers in programming and data analysis. Perform analysis of complex and large-scale
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welcome to apply. Proficiency in programming would be preferred. Post-doctoral research experience in related areas would be an advantage. Knowledge and research experience in algebraic coding theory and
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programs in engineering. We are seeking a highly motivated Research Fellow to perform research on flexible electronics, neurological device and interface. The successful candidate will work closely with
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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences