19 phd-in-architecture-landscape-built-environment Postdoctoral positions at University of Liverpool
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have a PhD (or equivalent professional experience) in an appropriate engineering discipline (Naval Architecture/Civil/Structural Engineering /Mechanical/Renewable Energy/Engineering Management). The post
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activities, and will be supported to develop their own independent research trajectories and career pathways throughout the project with access to bespoke training and conference budgets. You should have a PhD
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frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
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cover (e.g. cropland, grassland, rewetted) and management (e.g. raising water tables) affect water ditch greenhouse gas emissions and, in turn, the relevance of these emissions at the landscape scale. You
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University. We provide a strongly supportive environment for postdoctoral researchers, and the university is a signatory to the Researcher Development Concordat, and provides networking and development
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dynamic, diverse and inclusive working environment must be an integral part of our society, giving everyone the opportunity to participate and to benefit. Thus, we welcome applications from all sectors
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of the impact on the physical properties of polymers within different environments ¿ Collaborate across the research group, Department of Chemistry, and other UoL Departments to ensure
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. You will also contribute to publications and grant applications. Training will be provided as needed. You should have a PhD degree in a biomedical science-related subject and significant experience in
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied