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coastal ocean. CIFAR aims to understand how the complex interplay between ice melt, terrestrial runoff, and changing ocean conditions affects Arctic coastal ecosystems and their functioning across
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Researcher for Complex Plant Data Integration
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computational modelling. You have experience with Machine Learning and data analysis and are motivated to apply these skills to complex materials and production systems. You are familiar with polymer materials
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ideally with some experience of cancer research and evidence of genome editing and working with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As
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. Job description The successful applicant will join our efforts to explore new types of nonthermal physics in strongly-correlated quantum systems. Such systems can display highly complex and unusual
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, salinity, and other environmental stresses. However, identifying the genes underlying these complex traits remains challenging. This project will combine plant genomics, artificial intelligence, and
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environmental chemicals. Especially PFAS and their adverse effects on maternal and child health (e.g. the brain, immune, metabolic and reproductive system). In addition, we aim to identify toxicity of
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organisations at national and international levels. Strong project coordination skills and the ability to ensure progress across complex, multi-stakeholder projects. The ability to work independently while
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molecule) IR spectroscopy to follow in situ reactions leading to complex molecule formation on realistic dust grain analogue surfaces. Close collaboration with theoreticians, observers and the
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-leading companies, some of which are part of the vibrant robotic startup community around Odense. The positions are tied to the development of an Automated Service Inspection (ASI) system for wind