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Field
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by using imaging methods to study aging and cognitive diseases. It is also expected that you will gradually initiate and run your own research projects, which can be done to some extent based on your
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recycling. Current industrial recycling is mainly based on pyro- and hydrometallurgical methods, or a combination of those, to recover critical elements as well as elements that should not be released
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on processing and analysis of metabolomics and exposomics data, covering both method development and applications. Background The systems medicine research group at Örebro University (https://www.oru.se/english
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subject area for this position is medicine, specializing in computational metabolomics and exposomics, with primary focus on processing and analysis of metabolomics and exposomics data, covering both method
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for carrying out research in the Chinmay Dwibedi lab (www.dwibedilab.org ) in close collaboration with local and international experts. Specifically, you will employ Bioinformatic and statistical methods
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, study design, and conducting statistical analyses and data interpretation. You will also provide advice and guidance on statistical and data science methods to the project collaborators. You will also
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relevant. Our group approaches this question from a novel perspective, by studying the role of transposable elements (TEs) in this process. TEs occupy 50% of the human genome and are known to be very strong
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will involve various materials and electrical characterization methods (potentially including electrochemistry, multiple microscopy modalities, optical and IR spectroscopy, rheology) as well as surface
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multiple sub-arrays. In particular, developing methods for compensation of non-ideal system components and synchronization. Developed methods can be experimentally verified and tested on the Large
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additive manufacturing—to component-level behavior and overall engine system performance using state-of-the-art MBSE methods and tools. Particular attention will be given to how manufacturing-enabled design