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, translational, and experimental approaches. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute
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speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
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Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in computer science, mathematics, and
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degree (see notes below) in Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in
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sound, with human speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including
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cytometry or quantitative image-based data analysis. Knowledge of microbial bioinformatics workflows, or a willingness to develop these skills during the PhD, is an advantage. A structured approach to
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well as the organic matter persistence. Responsibilities and qualifications Your tasks will be to: Use bioinformatic tools to mine metagenomic datasets for enzyme-specific sequences (oxidoreductases and/or hydrolases
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two-year master's degree (120 ECTS points) in Biotechnology/Systems Biology/Bioinformatics or a similar degree with an academic level equivalent to a two-year master's degree. We offer a supportive