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regulatory processes. Develop analysis pipelines for pre-processing, normalization, and statistical modeling of high-throughput sequencing data. Integrate and mine public datasets to complement in-house
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from a senior researcher for data analysis. You will be based in the WindLab - one of the university's most modern office and laboratory spaces - while also having the opportunity to work flexibly and
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cultivation experiments under controlled conditions chemical analysis of plant secondary metabolites using HPLC-MS and GC-MS protein isolation and characterization using LC-MS plant physiological measurements
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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DESY is a key contributor to its advanced simulations and data processing pipelines. DESY also plays a central role in the simulation and analysis of data from the VERITAS gamma-ray observatory
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handling, transformation), Plant Sciences (photosynthesis, chloroplast biogenesis, algae), data analysis/computational biology (coding, sequence analysis, modelling) You hold relevant Bachelor and Master
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utilize non-targeted metabolomics to discover potential metabolites, and apply stable isotopomer-assisted flux analysis to uncover specific metabolic pathways. Obesity-associated models will be implemented
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patient-derived, isogenic-corrected patient-derived controls and healthy-derived iPSCs and evaluate pathomechanisms through in-depth molecular, physiologic, and morphologic phenotype analysis. WP2
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of plant development. You will work in an interdisciplinary team with postdocs from Jülich and Hohenheim. Your tasks Literature research and (meta-)analysis to provide evidence-based knowledge for model
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conductng beamtimes at European synchrotron facilities (e.g., Berlin, Paris, Triest, Lund) for operando analysis (HAXPES, PEEM, TXM) Analyzing and evaluating spectroscopic data and developing microscopic