236 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"FEMTO-ST" Fellowship positions in Singapore
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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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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, MRI, X-ray, pathological slides). Excellent programming, analytical, and research communication skills, with a track record of contributing to competitive research grant proposals. We regret that only
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Science, Informatics or equivalent. Independent
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, Computer Science, or related field, with strong background in machine learning Publications in top-tier journals and/or conference presentations as first author Proficiency in AI programming languages
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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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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