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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
partners (e.g., on various environmental factors and communities of other size classes). Key tasks will involve: Perform bioinformatic analysis of microbial molecular data (metabarcoding, metagenomes
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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of information processing), and formal epistemology (in particular, formal representations of inattentiveness and unawareness). This project will involve philosophical / linguistic analysis, experiments with human
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approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas/solid and liquid/solid interfaces are revealed. In particular, structure-reactivity correlations
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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed
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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
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Expertise with scientific data analysis We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity
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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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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis