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of expression systems Metabolic flux analysis for pathway characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution
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Your Job: Develop and refine detailed models of power electronics and their control systems for stationary battery storage applications Focus on system identification and parameter optimization
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17.07.2025, Wissenschaftliches Personal The Chair of Software Engineering & AI is searching for a new doctoral research associate (TVL-E13) in Generative Engine Optimization. Research focus
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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include create a N model ensemble of at least 4 process-based models (DayCent, LDNDC, Daisy, Candy) model within-field N-fluxes (e.g., N2O-losses, NO3-leaching, N-mineralization) for optimized N
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tailored to identify the most effective combination for addressing the challenges posed by the proposed research. This methodological flexibility is crucial for optimizing the model's performance and
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, invites applications for the position of a Research Associate (PhD candidate) (m/f/d) on Analytics in Court Operations. We are looking for a doctoral student (m/f/d) (TV-L E13, 75%) in the field
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
, epitranscriptomics (e.g., detection of RNA modifications based on nanopore direct RNA sequencing data), and integrative multi-omics analysis Build and optimize robust bioinformatics pipelines for data integration
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects