127 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"https:" Fellowship positions in Singapore
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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problem statement and/or a research scope is defined by the PI and the staff. Execute the plan experimentally and interpret the data critically. Report to the PI proactively and take the initiative
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be notified. More Information Location: Kent Ridge Campus Organization: Yong Loo Lin School of Medicine Department : Dean-Med-Healthy Longevity Translational Research Programme Employee Referral
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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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students involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering
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UrbanMicroclimateFoam, OpenFOAM, WRF/PALM or other similar programs; • Highly motivated individual with capacity to work independently. • Good time management and planning; • Good publication track record; • Some
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interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python
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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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Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support for other collaborative
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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