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– Adsorption and reaction of small gaseous non-metal oxides on model mineral particles under light illumination. The position is for four years of doctoral studies, including participation in research and
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the component of HEALFAM project, which investigates the impact of unemployment from intergenerational perspective, focusing on adult children and their parents’ health. This will be done using data from large
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of transposable elements (TEs) in this process. TEs occupy 50% of the human genome and are known to be very strong gene regulators. Therefore, to avoid their harmful effects, in adult tissues they are silenced by
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, aiming for a concentrated process gas suitable for carbon capture and utilization or storage. We are now seeking a postdoctoral researcher who will work on sampling and analysis of products from several
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application to health system equity within the project ‘Leaving no one behind”. You will be responsible for performing data management, advanced statistical analysis and authoring scientific articles, as
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brain imaging methods as a window into human brain plasticity. Projects will combine new data acquisition with analysis of existing datasets, and may leverage: MRI (structural, diffusion, and functional
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algorithms for Bayesian machine learning with applications in e.g., medical image analysis. The doctoral student position is offered within the machine learning project “The Challenges for Machine Learning in
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combine experimental studies with the analysis of in vivo blood and muscle data. Since the project is translational, you will collaborate with both clinical and preclinical researchers as
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factor in the design of the project. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. A person who is employed as a PhD student
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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