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methods for dealing with time-dependent and/or unmeasured confounding. We seek an excellent, open-minded, and team-spirited PhD candidate who is interested in statistical aspects of secondary data analysis
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simulations Enhanced sampling Molecular Dynamics simulations Your Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid
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workflows for the analysis of the local structure in soft functional materials (semi-crystalline and amorphous materials) using electron diffraction and electron energy loss spectroscopy methodologies. You
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risk prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences Requirements: Completed degree in health sciences
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hybridization, in–vivo electrophysiology data analysis with mice and is tightly linked to independent subprojects involving in-vivo electrophysiology in humans and high-resolution fMRI in awake rats
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to heat stress protein biochemistry and purification plant physiological measurements molecular biological investigations (e.g., gene expression analyses) analysis and publication of results in
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-assembly into superstructures using scattering and microscopy. Develop data analysis protocols for advanced structural and optical characterization methods to assess structural and optical properties of NPL
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standards in biodiversity text analysis Disseminate research results through peer-reviewed publications, academic conferences, and collaborative research proposals Your Profile MSc in biodiversity informatics
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analysis of complex microdata; familiarity with sensitive data handling, FAIR research data management, preregistration, or synthetic data methods is highly desirable. Interest in economic research topics
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, 2030 at our location in Müncheberg as Research associate (PhD student) (f/m/d) Your tasks Supporting research activities in the subproject on conflict management, especially literature analysis