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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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Fellow in comparative mitochondrial dynamics, combining experimental and computational work, at the Department of Mathematics . The position is for a fixed-term period of 3 years with the possibility of a
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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Our leading rail research group is recruiting for a Research Fellow to investigate the performance of railway infrastructure, particularly overhead line equipment structures and installations. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote...
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are increasingly being adopted across the NHS. This role is particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics
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Join Monash University’s cutting‑edge mathematical research in the Faculty of Science as a Research Fellow and contribute to computational and theoretical aspects of Dynamical Systems. This position will
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PhD in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Biomedical Engineering, Mathematics, Physics, Computational Mechanics/Engineering or related discipline. (Thesis submitted by
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machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner
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About us The Research Department of Structural and Molecular Biology (SMB) is a world leading academic centre that promotes multi-disciplinary research at the interface of structural, computational and chemical biology, pioneering multi-disciplinary approaches aimed to bridge across the scales...
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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm