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sustainability program. The successful candidate will support research and coordination efforts within a multidisciplinary sustainability program, focusing on life cycle assessment (LCA) to evaluate
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills
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, MAVLink). Hands-on experience with communication systems (e.g., Wi-Fi mesh, 4G/5G, UWB). Familiarity with swarm algorithms and real-time control systems is highly desirable. Strong programming skills in C
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Schaeffler Hub for Advanced Research at NTU is a collaborative research center between Nanyang Technological University and Schaeffler Group. The Schaeffler SHARE program comprises a global research
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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an intellectually stimulating, globally diverse scientific community. Key Responsibilities • Designing and managing a programme of research to meet agreed objectives. • Working closely with experimental
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an intellectually stimulating, globally diverse scientific community. Key Responsibilities • Designing and managing a programme of research to meet agreed objectives. • Working closely with experimental
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. Applicants must have proof of excellence in research. Applicants should aspire to develop successful academic career. Applicants are Singapore Citizens. Further information on the programme – including
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Computational Fluids Dynamics (CFD); Well informed and knowledgeable in CFD modelling; Highly experienced in using environmental simulation tools, such as ANSYS FLUENT, OpenFOAM or other similar programs; Highly
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language