112 parallel-computing-numerical-methods Fellowship positions at National University of Singapore
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using advanced methods. Research Preparation: Lead and assist in preparing research studies, grant proposals, ethics applications, and presentations. Research Management: Coordinate research activities
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join a dynamic and interdisciplinary team focusing on the development and application of novel statistical
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of Patient Reported Outcome Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support
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Research Design and Execution: Design and implement qualitative research studies that address pressing challenges in ageing and population health. Conduct applied research focused on informing programme
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with cells and tissues using quantitative methods who seeks more exposure to biophysical/mechanobiology approaches, or someone with a more computational/physics background who is eager to apply
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wearable devices. Investigate new materials and fabrication methods to improve the flexibility, efficiency, and scalability of wearable electronics. Collaborate with multidisciplinary teams, including
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skills relevant to maintenance, repair, and modification of scientific instruments. Qualifications Experience with biological experimental design and implementation. Computer skills for instrument
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Research grant application Supervise postgraduate student projects Support the teaching programme in the department and medicine school Main Duties and Responsibilities The Research Fellow will be able
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applications and funding opportunities; Provide guidance and training to undergraduate/graduate students and junior researchers in laboratory techniques and research methods; Present research findings in
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in the Biostatistics and Modelling Domain (BSMD) of SSHSPH. Researchers with existing research activities applying statistical methods in cancer, epidemiological studies, health promotion, physical