155 software-formal-method-phd Fellowship positions at National University of Singapore
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execution of research activities. • Perform additional duties as required by the project leader or co-leads. Qualifications ● PhD (or Master’s with strong relevant experience) in Bioinformatics or a
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machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy. Research directions will be flexible and shaped according to mutual
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of a similar nature that are delegated by the PI. Qualifications The applicant should: Hold a PhD or Master’s degree in Epidemiology/Biostatistics related disciplines; Have experience using data
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Professor Azra Ghani at a.ghani@nus.edu.sg. Qualifications • A PhD in infectious disease epidemiology, mathematical modelling, statistics or related subject or a similar quantitative discipline • Experience
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various assessment methods and advanced statistical techniques, including ecological momentary assessments (EMA), ecological momentary interventions (EMI), micro-randomised trials (MRT), and other trial
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stakeholders such as ministries of health, multilateral organizations, and NGOs. Explore and pursue grant opportunities to expand the research portfolio and impact. Qualifications A MD or PhD in statistics
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new models of examining the data To provide teaching to junior staff in the lab in neuroscience-related research methods, especially in pre-processing and processing of EEG data from infants/children
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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. • Work with research partners from various governmental sectors to understand their requirements. • Uncover efficient methods to work with point cloud data derived from various forms LiDAR scanners
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progress, in-house training will be provided in advanced methods, including cryo-TEM, cryo-electron tomography (cryo-ET), and correlative light and electron microscopy (CLEM) The selected candidate's key