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specialized knowledge in cardiovascular genetics and bioinformatics skills relevant to the analysis of microRNA and sequencing data. More information about the position The appointment is a full-time, fixed
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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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data acquisition) and profound skills in XANES & EXAFS data analysis Strong track record of publications in X-ray spectroscopy and a strong drive towards research publications Proficiency in English
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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dissection Cultivation of various cell types FACS and cell sorting Molecular techniques such as genotyping, RNA sequencing, ATAC-seq — depending on project requirements Data analysis Additional
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projects, from proposal writing to data analysis and preparing publications. Interest in developing new experimental setups, sample environments and detection schemes, which can advance experimental
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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samples, including aspects of sample preparation and data analysis Good presentation skills (written & oral) Qualifications of merit: Knowledge of other synchrotron X-ray/IR techniques Knowledge of lab
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing