78 computer-algorithm-"Prof"-"Prof" Fellowship positions at National University of Singapore
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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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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stakeholders. Main Duties and Responsibilities Contribute to the ongoing development and organise BISI’s research programme to support its strategic direction and mission. Lead the tracking, timely reporting and
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projects within an intellectually stimulating, globally diverse scientific community Key Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with
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projects within an intellectually stimulating, globally diverse scientific community Key Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with
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projects within an intellectually stimulating, globally diverse scientific community Key Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with
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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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2025. Duties • Fellows will develop and implement a coherent specimen-based research programme that will advance knowledge and understanding one or more groups of tropical Southeast Asian terrestrial
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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