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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack
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of self-motivation to achieve a doctorate Analytical, creative and solution-oriented mindset Strong interest in familiarising yourself with new topics and learning complementary biophysical techniques
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perspectives and are committed to finding the best candidate, recognizing that growth and learning are part of the role. We expect: the ability to work independently and on your own initiative a methodical and
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related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun
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the application of molecular biological methods experience in the statistical analysis of research results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and
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environment offers abundant opportunities for both direct and indirect learning in various technologies, making it an ideal place to start a career in the field. For scientific information about the project