23 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" positions at Karolinska Institutet (KI)
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is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and
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in bioinformatics analysis and data visualization of our ongoing research projects on molecular characterization at the mRNA, miRNA, proteome and metabolome level from multiple lung compartments. Our
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and bioinformaticians to investigate the role of early life events in the development of early onset obstructive lung disease. Duties The overall project involves molecular characterization at the mRNA
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host universities at SciLifeLab Campus Solna. We are looking for a talented researcher who is expected to both develop and adapt cutting-edge computational tools in world-leading independent research. We
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at SciLifeLab Campus Solna. We are looking for up to two talented researchers who are expected to develop world-leading independent biomedical research in one or several of the fields of interest to SciLifeLab
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at understanding the mechanisms underlying context-dependent human social learning of affective responses and social values. In this role, you will work at the forefront of research, developing new
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analyse complex proteomics datasets and develop innovative tools for data processing, visualization, and generation of databases and prediction models. You will build and maintain reproducible pipelines
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in Bioinformatics with focus on MS-based proteomics. Your mission We are seeking a bioinformatician to analyse complex proteomics datasets and develop innovative tools for data processing
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students and about 140 employees. Description of the subject area Global health systems research is about how health promotion, prevention, and treatment efforts are developed, evaluated, and implemented in
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broad coronavirus recognition. The ultimate goal is to understand how cross-reactive responses can be harnessed for the development of pan-coronavirus vaccines. This work will build directly on samples