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Field
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synchrotron beamline provides a unique environment for developing novel diffraction methodologies, data-analysis workflows, and experimental capabilities. The candidate will have access to state-of-the-art
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and complementary systems-change-oriented methods to national-scale case studies
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 24 days ago
Single-cell multi-omics and epigenetic profiling Genome-wide approaches and genomic data analysis Mechanistic validation of candidate pathways that shape regenerative responses and injury memory
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. Experience of performing gene regulatory network analysis or metabolomics modelling. Experience of using other relevant computational tools. Experience of contributing to reports and articles for publication
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
-based modeling, digital screening approaches, or new experimental analysis methods. You'll join an interdisciplinary team of currently four PhD students, three postdocs (including this position), and four
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
at the microstructural level and what this means for the interpretation of macromechanical test data. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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. Activities - Literature review and data compiling - Planification and realization of biochemical experiments (assembly of biochemical reaction networks) - Data analysis and regular (weekly) reporting