14 natural-language-processing Postdoctoral positions at Karolinska Institutet (KI) in Sweden
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. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following documents in English: Cover Letter, Curriculum vitae including full publication
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months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following documents in English: Cover Letter
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and spoken English is a requirement. What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical
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time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following documents in English or Swedish: A complete
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Excellent command of written and spoken English It is meritorious that the applicant has Laboratory molecular and cell biology skills (e.g. preparation of RNA-seq libraries, single-cell sequencing workflows
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ability to comfortable processing these data using tools like Seurat, Scanpy, or QuPath. Proficiency in Python or R, coupled with familiarity with machinelearning frameworks (e.g., scikit‑learn, PyTorch
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
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interact with to facilitate the research process and increase the synergetic effects. You will also have the opportunity to meet other KIRI postdocs, present your work at scientific events, and take part in
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
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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