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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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interaction analysis and single-cell approaches to unravel regulatory mechanisms of heart function and disease. CRISPR-based functional genomics will allow you to explore and steer the regulatory mechanisms
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perception experiments for prosodic analysis. For the advertised postdoctoral researcher position, this work involves conducting experiments on the morphosyntax of reprise questions and reprise fragments in a
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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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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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, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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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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, complex geometry, arithmetic geometry, algebraic number theory, global analysis, algebraic topology. We have a large group of PhD students, postdocs and visitors here at Essen, and have many joint
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis