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Field
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experience with methods of molecular biology and/or in the field of histology Experience in animal experimentation is an advantage Knowledge of statistical methods for data analysis Very good written and
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the livestock sectors, climate change and policy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree
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of provenance tracking within the workflow to enable reproducible data analysis, export to mzTab-M format Integration with EMBL-EBI BioStudies and other relevant repositories, such as MetaboLights (metabolomics
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with experience in causal inference using panel data (e.g., Difference-in-differences) solid knowledge of Stata, R and/or Python for conducting econometric analysis previous knowledge of conducting
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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. Previous experience with the handling of mice, especially surgical techniques, is favoured. Experience with the analysis of experimental data and high-throughput data (scRNA-seq, proteomics, etc.) is a plus
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(mzQC) and high-throughput analysis (identification, relative & absolute quantification) for lipidomics Implementation of provenance tracking within the workflow to enable reproducible data analysis
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PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM), a legal foundation under civil law based in Freising, is a prominent member
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for the analysis of stable carbon isotopes in methane using the Picarro system. You will collect quantitative data for MPn in water samples from the Baltic Sea and the Warnow Estuary in order to investigate its
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. To strengthen our research groups Food Biopolymer Chemistry and Mechanoreceptors we are currently looking for a committed PhD Student to start as soon as possible. The position is part-time (TV-L 13, 65%) and