139 parallel-computing-numerical-methods-"Prof" Fellowship positions at National University of Singapore
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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focuses on mechanical and morphological evolution of the insect heart, as part of the recently funded Human Frontier Science Program (HFSP) grant awarded to Prof. Young’s lab. The heart is one of the first
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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strong numerical and critical thinking skills, and the ability to work in a diverse environment. This position is funded by Southeast Asia Innovation Alliance for a Global Model of Future Agri-food Systems
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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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organization. Interested applicants can send their CV and cover letter to Asst. Prof Raymond P. Najjar (rpnajjar@nus.edu.sg ) Please state the name of the position you are applying for in the subject header of
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facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking to recruit a highly motivated and talented Postdoctoral Research Fellow
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research-based principles; and have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint; Remuneration will be commensurate with the candidate’s qualifications and experience. Informal
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing