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characterization of mammalian riboswitches. This position, supported by a grant from the John Templeton Foundation offers an exciting opportunity to help uncover previously unknown RNA-based genetic regulatory
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AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy
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stimulating multidisciplinary research environment focused on regulatory mechanisms that enable cells to retain their identity.We employ Drosophila and human cell culture models, genomics, genetics and
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research topics addressed should include: 1) manage a selective breeding program working in concert with clam farmers and a private company conducting the genetic analyses 2) explore culture methodologies
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research position, starting in January 2027, is available in the ERRMECe laboratory (CY Cergy Paris Université, France) to develop genetically engineered bacteriophages against biofilm-associated
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tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms
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therapeutic resistance in lung and head and neck cancers using integrated genetic, molecular, and computational approaches. We are particularly interested in discovering new therapeutic vulnerabilities and
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research team. We develop and use novel platform that enables genome-wide identification of bacterial genes required for survival directly within infected hosts. This project combines bacterial genetics
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and Python Solid background in genomics Prior experience in DNA sequencing and cancer genetics is strongly preferred but not exclusively required as training will be available. Qualifications Education
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to completing one, in molecular biology, gene regulation, biochemistry, genetics, genome biology or a related biomedical field. Previous experience with B cells, immunology or cancer biology is not essential