18 parallel-processing-bioinformatics Postdoctoral positions at King's College London in United Kingdom
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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neuroplasticity, interdisciplinary neuro-immune research, high-throughput sequencing technologies, drug discovery and advanced therapeutics. We have excellent facilities to support our parallel use of pre-clinical
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culture, cytokine and protein analysis (Luminex/ELISA), qPCR, and bioinformatic analysis of bulk and single‑cell RNA‑sequencing and/or CyTOF datasets. You will be expected to analyse and interpret complex
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tissues Knowledge of bioinformatics or computational analysis Evidence of successful collaboration in multidisciplinary projects Downloading a copy of our Job Description Full details of the role and the
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Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level
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. Familiarity with neuroimaging processing pipelines such as FreeSurfer and SynthSeg. Experience conducting neurocognitive assessments. Experience leading and supervising systematic reviews synthesising evidence
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sophisticated machine learning tools for image processing Experience in mathematical modelling Knowledge in comparative neuroscience (comparative vertebrate neuro) Proficiency in basic computer packages (eg
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point 31. Experience with rodent surgery, preferably including stereotaxic injections. Proven ability to work as part of a team Ability to work independently, effectively planning and organizing one’s own
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process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made
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the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how these processes work. CDN is one of four