18 multiple-sequence-alignment research jobs at University of Cambridge in United Kingdom
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mammalian cell culture, cell transfection, multiple omic approaches including processing of tissues for single cell RNA sequencing, drug discovery, western blotting, and immunohistochemistry among other
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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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samples and data. The project integrates whole-genome sequencing, transcriptomics, epigenetic profiling, and clinical information to uncover the key molecular drivers that underpin tumour progression and
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relevant undergraduate degree and have proven experience in tissue handling, single-cell sequencing, and the analysis of single-cell data. A solid understanding of immunological techniques and molecular
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. This will require the application of a range of techniques, from in-vitro biochemistry to novel, next-generation sequencing approaches. Most skills can be acquired and developed throughout the post, offering
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and
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a city in an unstable environment at the centre of the Indian Ocean, in which arose a diverse society, generating an abundance of cultural production and a sequence of violent politics. We are looking
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. This post will involve the use of cutting edge biochemical, proteomic, next generation sequencing and ribosome foot printing technologies. This position is available for an immediate appointment. Candidates
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experience aligns with the candidate profile in the further particulars document Informal enquiries are welcome and should be directed to Dr Iris Hardege (ih287@cam.ac.uk ). Fixed-term: The funds for this post
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly