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position: Postdoctoral Research Fellow for Large-Scale Longitudinal Data Analysis in Empirical Education Research (m/f/d, E13 TV-L1, 100%, for 3 years with potential of extension for 3 more years) We are
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postgraduate levels. Expertise in bioinformatics, high-throughput sequencing data analysis, and computational biology is essential. Skills in applying data science and artificial intelligence to biomedical
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research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
evaluations to systematically integrate both quantitative and qualitative data at multiple levels of analysis, enabling a representation of interscalar interactions across contexts. 2. Understand macro-trends
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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/ programming; Python highly desirable (or proven expertise in other languages). 3. Solid knowledge of statistical methods and data analysis. 4. Prior research experience with Machine Learning is a valuable asset
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University-level course, thesis, or dissertation Four years of experience in the following: Demographic methods / technical demography Data maintenance and analysis Maintaining quality control standards
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and quarterly fixed asset entries. Prepare monthly and quarterly fixed asset schedules. Maintain the accuracy of data within the fixed asset module. Perform periodic physical verification of fixed
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware
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Scheduled Hours 40 Position Summary Designs research protocols. Assists in developing and conducting research projects, including experiment design, data analysis and documentation of experiment