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Field
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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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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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, 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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applicant with a strong background in the (electrophysiological) characterization of membrane transport proteins Proficiency in structural biology and/or bioinformatics and/or data-driven protein design
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 2 days ago
). • Cell-specific microbial activity measurements using fluorescent markers, flow cytometry, and cell sorting. • Generation and analyses (bioinformatic and statistical) of environment and microbiome 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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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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considered if you can demonstrate a willingness and an aptitude to learn, and bioinformatic and other support will be provided. Opportunities will be provided for training and support for future career
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development, functional genomics, generation and analysis of sequencing data, -omics techniques, bioinformatics, biochemistry, and analytical chemistry (HPLC, LC-MS). Responsibilities will include: Conducting
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal