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                A 2-year postdoctoral fellowship in microbial bioinformatics and modelling is available in the Microbial Interactions Research Group at the Section for Microbial Ecology and Biotechnology 
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                Job Description Are you looking for the best possible foundation for fulfilling your dreams and ambitions within application of bioinformatics to epidemiological research? At DTU National Food 
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                The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of Translational Bioinformatics in Nephrology as per 1 
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                The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of translational cancer genomics and bioinformatics as per 1 
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                -based genome editing, and bioinformatics. The lab uses diverse cell models, including embryonic stem cells and their differentiated derivatives. The research in the Choudhary group is mainly funded by 
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                of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging 
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                , analytical chemistry, bioinformatics, biotechnology, synthetic biology, microbial biology, plant biology, algae biology or similar subjects, and should be fluent in both spoken and written English. If you are 
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                bioinformatics A stimulating, inclusive, and international research environment with structured mentoring and career development support Competitive salary and social benefits according to the collective agreement 
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                expertise within molecular methods development, bioinformatics and machine learning. Furthermore, the position will be anchored in the Center for Microbial Communities that has approx. 50 scientists working 
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                employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human