-
. You have expertise in working with large metabolomic and transcriptomic datasets using open source statistical packages such as R and python. You have solid English and German skills, which are a
-
. M. Hintermüller, Dr. C. Geiersbach, Dr. P. Dvurechensky in Research Group “Stochastic Algorithms and Nonparametric Statistics”, and Dr. A. Kannan at Humboldt University of Berlin. Please direct
-
Biology or related field Demonstrated experience in experimental work Experience with molecular/genomic techniques would be advantageous Strong statistical or bioinformatic skills Collaborative team player
-
) sampling, above-ground carbon measurements, farmer surveys, focus groups, text coding and content analysis, statistics, GIS or land cover mapping experience working with agroecological data collection
-
approaches. Publish results in high-impact journals. Your qualifications and skills: You hold a Master's degree (or equivalent) in mathematics, statistics, biostatistics, bioinformatics, plant breeding
-
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