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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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, Computer Science, Mathematics, Machine Learning, Statistics, Bioinformatics, Computational Neuroscience). You have a genuine interest in interdisciplinary work at the interface between machine learning and
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statistical software packages such as STATA, SPSS, SAS or R, or willing to acquire such knowledge. You pay attention to details and act with attention to quality and integrity. You have a sense of independence
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to the handling of experimental animals Specific Requirements - Good knowledge of English - Previous experience in small animal surgery and handling - Basic knowledge of statistics and handling of common
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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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the CMGG lab: independently perform the genetic analyses. Data processing and analysis: structuring and processing the results obtained. Statistical knowledge is required (data mining, hierarchical cluster
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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 such as STATA, SPSS, SAS or R
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degree that implies a profound knowledge of statistics, data analysis and programming You have affinity with psychology You are precise, creative, highly motivated and enthusiastic. You have excellent
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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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-Statistics. You will contribute limited to a teaching assignment. Your team The Data Science Institute (est. 2019) brings together over 150 researchers working in the broad field of data science across