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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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expected to: Develop and apply quantitative methods specifically tailored to the goals of the BIOBANG project. Establish and maintain code and data repositories to ensure efficient workflow and collaboration
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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issues. The task includes supervision and teaching in the Bachelor’s Programme in Environmental and Food Economics (YET) and the Master’s Programme in Food Economy and Consumption both of which are study
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well as cutting-edge systems biology methods, such as CRISPRi and nascent transcriptomics methods. The training could be furthered by research visits within our collaboration network of well-regarded laboratories
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well as newly developed computational methods. You will report your results in a scientific publication as a first author with the support of other members of the group. Skills, experience/qualifications
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mutation events from large genomic datasets and analyse the effects of the identified mutations using existing software as well as well as newly developed computational methods. You are also be expected
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practices in chemical, rheological, and textural analytical methods. Excellent written and verbal communication skills in English. Strong motivation to conduct high-quality research, publish in peer-reviewed
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research with the aim of completing the dissertation and doctoral degree (either Doctor of Theology or Doctor of Philosophy) participating in and contributing to DIVSOL events and doctoral program and
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intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets