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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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. ● Computational skills is a plus (e.g., experience with computational modeling, AI models, familiarity with Python, etc) ● Familiarity with EEG, Brain-Computer Interfaces, biofeedback systems, or biomarkers
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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engineering, maritime transport and management, computer science, or a related field from a good university; Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages; A good
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evidence-driven policy development in Singapore • Initiate and lead research programmes that build on empirical data collection to develop evidence-based recommendations that address pertinent policy
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skills relevant to maintenance, repair, and modification of scientific instruments. Qualifications Experience with biological experimental design and implementation. Computer skills for instrument
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that will support regulatory approval and market access. Requirements • Doctoral degree in computer science or statistics. • Commensurate experience (2 years) in clinical research. • Experience with
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational