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develop your professional skills and network. A generous development and training budget of £5000 is available. You will benefit from being a member of one of the largest urban water research groups in
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. The post is deliberately non-prescriptive to allow for diverse research foci of applicants. For example, applicants working on contemporary or future distribution, population or food web modelling, but with
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addition to the general responsibilities described above, the role-holder is responsible for organising residential networking events, requiring the formulation and communication of clear strategic objectives and building
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software engineers, platforms experts, PhDs, PDRAs and academics – and build up a thriving community which is committed to world-leading research. The candidate will work in close collaboration with the PI
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an Environmental Strategy to support the company's ambition of achieving net-zero carbon emissions. Developing and implementing a Quality Management System. Developing and implementing an Environmental Management
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into national biosurveillance systems, and collaborate with public health and defence stakeholders to enhance the UK’s readiness for biological threats. The successful applicant will have a PhD in bioinformatics
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a vibrant and dynamic research environment with PhD cohort training, skills and networking events built into the PhD programmes. As a member of the PUMaS hub you will be based within state-of-the-art
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Job Description Position Details School of Social Policy and Society, College of Social Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in
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prospects The anticipated outcome of the PhD is an understanding of the processes and rates of rapid change at anthropogenic coasts. This applied angle opens up potential careers in land management and
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and deforestation on vector-borne disease data-driven modelling of population dynamics and epidemics developing new methods for species distribution modelling Study options Study options PhD Duration: 3