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the statistical analysis of neural data We offer A stimulating, international, interdisciplinary, collaborative, and supportive work environment, which emphasizes diversity and inclusion
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(Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be considered at junior or more senior levels assuming relevant experience in
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Python and R You have experience in the analysis of omics dataset using statistical or machine learning methods You have experience in the development of wet lab protocols for performing in vivo CRISPR
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the opportunity to extend. Remuneration will be commensurate with qualifications and experience. Profile Essential Requirements Masters in Bioinformatics, Computational Biology, Statistics, Computer Science
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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/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 processing of NGS data experience
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bioinformatics, biostatistics, and genetics. Essential Master’s Degree in biochemistry, biomedical sciences, bioinformatics, (bio)statistics, bioengineering, computer science, related disciplines or equivalent
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, Statistics, Computer Science, Genetics, or equivalent. Proficiency in Python and/or R, with a solid grasp of statistics. Excellent organizational and time management skills, with a flexible
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. We investigate the role of spatial chromatin organization in cell fate acquisition and maintenance, using a variety of targeted and genome-wide profiling technologies and develop statistical and