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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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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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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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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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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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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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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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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
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or computer science excitement about algorithms, combinatorial problems, theoretical analysis high motivation, creativity and openness. We offer a full-time position for three years (PhD) with a competitive salary, 30