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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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                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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                Metagenomics group with 15 researchers at various career levels with expertise within molecular methods development, bioinformatics and machine learning. Furthermore, the position will be anchored in the Center 
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                with 15 researchers at various career levels with expertise within molecular methods development, bioinformatics and machine learning. Furthermore, the position will be anchored in the Center 
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                , bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and 
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                Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least 
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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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                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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                professor at Department of Molecular Medicine, Iben Lyskjær Heimann. Your competences You have academic qualifications at PhD level, for example within the following areas: bioinformatics, cancer research 
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                will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco