725 evolution-"https:"-"https:"-"https:"-"https:"-"Keele-University" positions at Nature Careers
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empowering postdocs for success beyond their training. This includes access to grant writing workshops, individual development plans, teaching and mentoring opportunities, non-research career advancement
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University of London and Barts NHS Trust to ensure that our research is focused on where it is most needed. Using our linked health and molecular patient data, we will drive the development and targeted
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development for all ages served. Strong ability to assess and interpret age specific data about the patient's status. Strong clinical nursing, interpersonal, and patient education skills. Proven performance in
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disease development, should be a central focus. Innovative techniques (e.g., metabolomics, single-cell or spatial metabolomics) should be applied, particularly those enabling functional analyses
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aims to propose a unique swarm-based counter-UAS approach enabling autonomous generation and continuous adaptation of protective swarm behaviours. We are seeking an outstanding Research and Development
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Associate) with clinical and research interest in the field of Translational Medicine (vaccine and drug development targeting pediatric infectious diseases) and HIV Medicine (clinical care, drug development
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the morphological, molecular, and phylogenetic diversity of plants. Ongoing projects include the evolution of floral scent in Onagraceae, the evolution of sexual systems in Schiedea (Caryophyllaceae), and the origin
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biology techniques such as qPCR and bulk and single-cell sequencing. Our work supports the testing and development of drugs targeting novel immunological pathways. The overarching goal of our research is to
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level. Benefits We offer a competitive job support and create a dedicated research environment for you: 1.Competitive Work Support for a Focused Research Environment: Development Potential: We offer you a
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conducted computational experiments, such as genome-wide association studies. Main Responsibilities To identify and support development of new computational approaches to data analysis with an emphasis