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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, such as grain yield, adaptation
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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software as python packages Report findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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, biogeochemistry or comparable studies good English speaking and writing skills good knowledge in plant and/or soil ecology basic understanding in chemistry and lab work comprehensive knowledge in statistics and
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experimental studies with animals Experience in working in the field would be an advantage Advanced statistical and analytical abilities (experience using R is a plus) Excellent command of the English language