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appreciated Ability to engage with interdisciplinary teams involving statisticians, computer scientists, and climate experts Programming experience in a scientific computing language (e.g., Python, Fortran
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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, biochemistry and evolution of the Starship transposons in plant pathogenic fungi. We are seeking creative and ambitious scientists to lead any of the three following research themes: Starship diversity and
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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talented professors and 3400 full-time students. Currently, the Department of Civil Engineering has 20 professors together with lecturers, staff scientist, post-doctoral researchers, doctoral students, and
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at Aalto University
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fields. The researcher will join a multi-disciplinary team led by Professor Vili Lehdonvirta, consisting of both computer and social scientists. Principal investigator and community The project’s principal
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We have an exciting opportunity for a Research Assistant to join the pre-clinical team, working closely with a post-doctoral research scientist. The preclinical team, led by Dr Elena Stylianou
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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative