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engineering processes. Knowledge in statistical physics, percolation or stochastic geometry will be helpful. Please direct scientific queries to Prof. Dr. W. König (Koenig(at)wias-berlin.de ). The appointment
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the evaluation, development and application of statistical and psychometric methods of proficiency and interest assessment. In addition, their tasks include cooperation in the implementation, preparation and
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, Computer Science or a related discipline Knowledge and experience in the analysis of biological high-throughput data Knowledge in statistical methods in the context of biological systems Experience with programming
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the analysis of biological high-throughput data Knowledge in statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We
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international perspective. CompNet is a research network covering researchers from the European System of Central Banks, the EU Commission and National Statistical Institutes of EU member states, as well as a
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skills in programming and numerical/statistical analysis of simulated and observed data are required Experience in working with intermediate-complexity Earth system models, and in marticular in modelling
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) and statistics (R). Expertise in programming and working with large data sets would be advantageous. The position is available as soon as possible and is limited to 3 years. Salary is paid according