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Field
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communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory
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Hirst lab is focusing on the development and improvement of molecular assays and bioinformatics tools to study the epigenetic causes of cancers and to discover new targets for potential cures. In
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, and seminars; supervise Graduate and Undergraduate students in the laboratory. Experience and Qualifications Required and/or Desired PhD or equivalent degree required; experience in bioinformatic data
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submit grant proposals to secure research funding apply bioinformatics, biostatistics, and computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory
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Qualifications: Previous experience with bioanalytical instrumentation and methods, hands-on experience with HPLC and mass spectrometry, bioinformatics, mammalian cell culture and biological assays will be
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biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical understanding Knowledge of statistical analysis and programming
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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expertise within molecular methods development, bioinformatics and machine learning. Furthermore, the position will be anchored in the Center for Microbial Communities that has approx. 50 scientists working
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or CUT&Tag) bioinformatics experience in analysis of sequencing data (for example RNAseq, ATACseq, ChIPseq, metagenomics, etc.) LanguagesENGLISHLevelGood Research FieldBiological sciences
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that includes. Job description: We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory (Shannon entropy, compressibility