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Field
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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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Experience with serology and high-parameter flow cytometry Expertise in statistical and bioinformatic analysis of immunological datasets Experience with the development or use of viral infection models
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their mycorrhizal partners. While upregulation of N acquisition via mycorrhizae might help alleviate their N limitation, this change may have consequences for soil C cycling processes that affect soil C stocks
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lymphoblastic leukemia (ALL). This will include RNA-sequencing of single leukemia cells, bioinformatic analysis of the data, follow-up analyses, and functional experiments. You will be responsible for executing
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to independently perform both bioinformatic and statistical analyses. Excellent communication skills in both oral and written English are expected. The candidate must be capable of independent planning, execution
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theory. Experience with field work and basic molecular lab work. Proven track-record in handling high-throughput DNA sequencing data and conducting bioinformatic analyses. A curious, collaborative and
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. The candidate should also demonstrate an excellent understanding of and ability to independently perform both bioinformatic and statistical analyses. Excellent communication skills in both oral and written
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degree. Applicants with experience in one or more of the following fields are encouraged to apply: Organoid culture Flow cytometry Microscopy Bioinformatics analysis Previous publications are considered a
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the equivalent of a doctorate in statistics, bioinformatics, mathematical statistics or equal subject is eligible for appointment as postdoctoral researcher. This eligibility requirement must be met no later than
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on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning of fibers, protein engineering, material characterization and bioinformatics