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in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and multivariate analysis and apply these to research questions within
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the world, but extinction because of climate change and human pressures. Our project will use cutting-edge imaging and AI-driven analysis to reconstruct their life histories and forecast future reef
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multivariate analysis and apply these to research questions within microbiology. To complement the research project, you will have access to a large range of different types of infrastructure available
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, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast, and crops such as rapeseed, basket willow (Salix
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the Centre for Analysis and Synthesis (CAS) at the Department of Chemistry, Faculty of Engineering. We are a highly international unit and strive to maintain an efficient and friendly work environment
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behavioral paradigms used to study somatosensation in mice, mouse colony management and transgenic mice maintenance. It is a particular merit if the applicant also has experience in quantitative analysis
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functionality, nutritional value, and flavor compound analysis proven through previous projects and publications. Ability to work independently as well as collaboratively, and to take responsibility for driving
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made Solid background in mathematics, physics and programming Experience in processing or analysis of synthetic aperture radar data You will need strong written and verbal communication skills in English
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. Entry requirements The candidate should have experience in the analysis of imaging methods such as magnetic resonance imaging (MRI) and/or positron emission tomography (PET) in aging and cognitive
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and also be able to work independently. Specific tasks include: Statistical analysis of complex datasets Development and application of predictive models Contribution to study design, and choice