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the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer. The appointed PDRA will be integrated into a multidisciplinary team and will
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| Mechanical and Aerospace Engineering Performs basic or applied research in the area of computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects
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Science Park. The post is funded by Innovate UK and is fixed-term to 30th April 2026. The CEBD project is an ambitious programme to develop the first category enhanced battery powered eVTOL. The project
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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., geography, urban planning, data science, sociology, public health, emergency management). Ideal applicants will have: *Expertise conducting spatial and statistical analyses *Experience with scientific
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Microbiology, Biomedical Sciences, Bioinformatics, Computational Biology, or a related discipline is required by the start of employment. Experience in conducting microbiome research, including processing
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audiences and an ability to work well independently using own initiative, as well as part of a team. Experience in a variety of advanced microscopy techniques and computational biology expertise are desired
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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The Department of Electrical and Computer Engineering at the University of California, Riverside invites applications for a full-time Postdoctoral Scholar position for candidates with expertise in Dynamics and
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. Collaborative work and teaching within the research team (10%) Qualifications Required Qualifications: Education: - Doctoral degree in bioinformatics, biostatistics, computational (micro)biology, genomics