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Field
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. Follow and maintain laboratory protocols and procedures. Required Qualifications* PhD degree in Biomedical Engineering, Pathology, Bioinformatics, Electrical Engineering or a related field. At least 5
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, bioinformatics, translational science, statistical analyses, communication of science, and funding applications will be provided. Janowitz Laboratory Website Position Requirements Education: The applicant is
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molecular and functional assays on cell lines, primary cells and iPSC-derived cells. Work closely with NGS and bioinformatics scientists to process genomic samples, analyze screening results, and generate
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bioinformatics pipelines for the routine analysis of amplicon and long-read DNA sequences obtained by Nanopore sequencing Analysis of metagenomic and amplicon sequencing DNA data. Writing and publication
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to collaborate as part of a team AI in Life Sciences Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our collaborator Ramiro Alberio at the University of Nottingham. About you Postdoctoral Research
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join a dynamic and interdisciplinary team focusing on the development and application of novel statistical
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, immunoprecipitation and confocal microscopy. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating
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of bioinformatics (RNA-seq pipelines, Python/R) and sequencing technologies (nanopore, single-cell, ATAC/ChIP-seq). Knowledge of genetic regulation and lncRNA function in immune contexts Excellent data analysis and