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population genetics, comparative genomics and/or the analysis of genomic data using bioinformatics protocols is advantageous. Additional Information Benefits • 5 weeks of paid holiday yearly, subsidized
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conducting human studies with human participants including participant recruitment, data collection, and management of data Advanced skills in statistical analysis using software such as R, STATA, or SPSS
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of the institute includes numerical simulation of wave propagation processes, modeling of porous media (e.g. concrete), optimization of sustainable buildings and analysis-suitable CAD models. About us Graz
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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scientists to develop an independent research program. DRs will have access to the resources available at the LPC to make major contributions to CMS in the areas of physics analysis, object identification
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skills crossing the disciplines of materials science, biochemistry and analytical chemistry. Techniques will include rheology, materials testing, spectroscopy, surface analysis, molecular weight analysis
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well as analysis and evaluation of the results of these. Research publications in reputable scientific journals, where the candidate has a lead author position Ability to present and communicate research ideas
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(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis
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motivated candidate with a strong mathematical background, particularly in one or several of the following areas: multivariable control, nonlinear control, robust control, matrix analysis, and convex
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case studies in health care, to demonstrate the potential to discover novel insights from data. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced