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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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doctoral thesis after 4 years Desirable but not required Experience with yeast molecular biology (PCR, transformation, large-scale assays) Knowledge of statistics packages and/or data analysis using R Key
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data integration basic/intermediate programming skills in R and/or Python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic
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statistical analysis basic processing of NGS data experience with iPSC and/or cell culturing knowledge of and some experience with genetic perturbation assays, such as CRISPR What we offer As part of the VIB
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skills and statistical literacy are a plus · Analytical skills and a passion for research · A cooperative attitude and the ability to work independently as well as in a team · Willingness to
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in grid. To that end, harmonic component and network simulation techniques will be combined/complemented with mathematical optimisation and statistical analysis methods and applied to realistic power
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interest in socioeconomic policy issues and social questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages
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questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages such as STATA, SPSS, SAS or R, or willing to acquire
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and Gene Regulation – CBIGR – of Prof. Vanessa Vermeirssen focuses on acquiring a functional understanding of gene regulation and signalling towards personalized medicine, using statistics
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with large data (computational tools for generating and analyzing data of complex molecular systems), for instance with Python (or equivalent). (3) Ideally, you have also knowledge in statistical physics