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Field
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Computational Biology, Bioinformatics, Computer Science or Machine Learning related field Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer
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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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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, 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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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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, 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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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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to the PhD position must have a Master’s degree (120 ECTS) equivalent higher education qualifications in computer science, AI, cybernetics, bioinformatics, or related fields. The degree must be accomplished
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EMS mutagenesis protocols in plants. Prior work involving biochar, soil amendments, or sustainable forestry applications. Experience with R, Python, or other bioinformatics tools for omics data analysis
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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