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for a detailed analysis of the chemical composition of the air and the various factors that lead to changes in air quality. Tasks additionally include: Characterization of a high-precision multi-gas
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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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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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Proficiency (C1 or equivalent) expected Collaborative mindset Proficiency in common tools for data analysis, state-of-the-art data procurement and reporting, and bioinformatics Willingness to work in an
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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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welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2025. The position is for three years. The positions are advertised as part of the Research Training Group 2491 "Fourier Analysis and
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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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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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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) is currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d) Project
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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