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longitudinal clinical cohorts to perform repertoire analyses of memory B cells and antibodies from multiple compartments and time points. The overall goal is to determine whether mucosal immune responses
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clinical cohorts to perform repertoire analyses of memory B cells and antibodies from multiple compartments and time points. The overall goal is to determine whether mucosal immune responses are seeded from
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of the Protein Evolution group at the Department of Experimental Medical Science, Lund University. Her research group works with computational sequence and structural analysis of microbial genomes and proteins
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++, Python, Rust, …). Demonstrated experience in one of the following areas, with a willingness to learn one another: (1) genome sequences and omics data, (2) deep learning, and (3) compressed data structures
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competence platform. The platform is hosted at Chalmers, in close collaboration with RISE and multiple industry partners, to develop and utilize well-characterized microbial and digital resources for next
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such as state-of-the-art organoid technologies, high-throughput drug screening, cell barcoding and single cell sequencing. The group is located at Science for Life Laboratory , which hosts multiple cutting
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equipment used by multiple researchers (e.g., DNA and RNA extraction rooms, PCR machines, instruments to measure concentration and integrity of nucleic acids, and knowledge of best practices for down-stream
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Arctic charr. About the position The work in the project includes the following tasks: Nucleic acid extraction and optimization of existing protocol Preparation of libraries for high-throughput sequencing
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subjects undergoing allergen-specific immunotherapy to study humoral immunity as it develops during such treatment. We use single-cell sequencing, next generation sequencing of antibody-encoding gene
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cyber resilient AI, promoting education, knowledge sharing, and policy development. This PhD position is associated with the research theme Resilient Distributed and Agentic AI. For systems with multiple