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conditions chemical analysis of plant secondary metabolites using HPLC-MS and GC-MS protein isolation and characterization using LC-MS plant physiological measurements molecular biological investigations (e.g
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as the second most abundant ingredient (Villarreal-Chiu et al., 2017). While these surfactants are considered inert in terms of their effect on glyphosate efficacy (Mesnage et al., 2019), a critical
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benchmarking. References: Flemisch, Darcis, Erbertseder, Faigle, Lauser, Mosthaf, Müthing, Nuske, Tatomir, Wolff, Helmig 2011. DuMux: DUNE for multi-phase,component,scale,physics,… flow and transport in porous
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protein structure analysis. Required skills: High motivation, curiosity, self-driven, critical thinking, strong team-player, good English, high interest in protein structure and machine learning. This PhD
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two-dimensional materials: spectroscopic investigations of two-dimensional semiconductors, measurements and analysis using linear and non-linear microscopy. The scientific work further includes
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smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree and
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of work-life balance as it was awarded the certificate "Total E-Quality". In addition, the IPB is a member of the nationwide company network "Success Factor Family" and of the “Diversity Charter” (Charta
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. Your tasks and responsibilities Characterization of ion channel functions using electrophysiological, optical, biochemical, molecular, and cell biological methods Analysis and interpretation
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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to identify targets for the development of rejuvenation strategies. We have established a large dataset of single cell whole transcriptomic analysis of hematopoietic progenitors and bulk RNAseq of endothelial