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of research experiences in Applied and Computational Mathematics Evidence of a good publication record from PhD works The College of Science seeks a diverse and inclusive workforce and is committed to equality
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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, engineering and structural and functional characterisation of the novel nanoparticles for applications in biomedicine. About You You will have a PhD and, ideally, a postdoctoral experience in computational
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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of Computing, Engineering and Mathematical Sciences), reporting to Dr Rebecca Chisholm. They will work closely with other project investigators based at La Trobe (A/Prof Joel Miller and A/Prof Hien Nguyen), The
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computational chemistry, biophysics or related discipline with the demonstrated ability to develop and pursue innovative computational research for practical applications in biomedicine. Experience in conducting
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well as experimental and computational approaches. The ideal candidate will have a strong interest in gene regulatory mechanisms, with a track record of creative research in molecular biology, cell biology, genomics