175 programming-"Northeastern-University"-"https:" Fellowship research jobs in Singapore
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with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources
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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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are authentic and unimodal/multimodal verification must be robust against spoofing or deepfakes. Collaborate closely with the Principal Investigator (PI) to execute the project’s research plan, including
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, high-impact research projects within an intellectually stimulating, globally diverse scientific communit Key Responsibilities Designing and managing a programme of research to meet agreed objectives
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. Lead and execute independent investigations, ensuring accurate interpretation of experimental data and effective communication of key findings. Plan, implement, and refine experimental methodologies
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research findings clearly. Design and conduct experiments, analyze data, and draw meaningful conclusions. Work with data analysis software, programming languages, and simulation tools. Oversee the transition
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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Research Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track
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, and machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python
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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary