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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 2 months ago
, semimetals, superconductors) Carrying out photoemission experiments in synchrotron beamlines Maintenance of the in-house ARPES system Analysis and summarizing experimental results Presentation of experimental
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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Institute for Meteorology. YOUR PROFILE We are looking for a curiosity-driven and conceptually-minded candidate who enjoys scientific discussion and complex data analysis. To be considered for this position
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Institute for Meteorology. YOUR PROFILE We are looking for a curiosity-driven and conceptually-minded candidate who enjoys scientific discussion and complex data analysis. To be considered for this position
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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the German Baltic Sea coast Analysis of changes in locations and coverage during the last decades as well as the controlling factors Hydrodynamic model-based assessments of the drivers of changes in seagrass