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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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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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the dissemination of research findings through conferences, seminars, and other scientific events Your qualifications and skills: You hold a MSc in plant science, crop science, biology, or related field. You have
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hold a MSc in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern
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, and other scientific events Your qualifications and skills: You hold a MSc in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in
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methods experience in the statistical analysis of research results or willingness to acquire such experience willingness to conduct a research stay for several month at another institute very good knowledge
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The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits like grain yield heterosis. In
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, disabled candidates will be given preference. Please upload complete application documents (cover letter, curriculum vitae, certificates, list of MSc courses and grades, copy of the master thesis, reference
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta