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Field
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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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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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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 complex microbial communities and their interactions with potential interventions. Currently, we are seeking a PhD candidate to support our interdisciplinary team. Be part of change You will conduct a
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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
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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein
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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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RNA sequencing workflows and basic bioinformatics • Experience with Python and R for transcriptomic data analysis We offer The position (TV-L13 (65%) salary according to German public sector regulations