16 multiple-sequence-alignment Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
Sort by
Refine Your Search
-
expertise in organoid models of neurodevelopment to join our team and be involved in a MRC funded project aimed at generating region-specific brain organoids and assembloids from multiple gene-edited human
-
, including next generation sequencing is essential. The successful candidate will be highly motivated and enthusiastic with an outstanding academic track record, good communication skills and the ability
-
(e.g. nanopore-based sequencing, reverse genetics, immunoblotting, luciferase-based assays, RT-qPCR, microscopy) to study virus evolution and innate/adaptive immunity in the context of viral infection
-
for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a multidisciplinary team Evidence of strong communication and scientific
-
sequencing datasets Desirable criteria Background in mammalian cerebral cortex development 2Background in epigenetic regulators XXXX Downloading a copy of our Job Description Full details of the role and the
-
approaches, advanced microscopy and immunological assays on fresh human tissue samples to phenotype and functionally characterise cell populations. Experience in advanced sequencing and omics analysis is
-
intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
-
healthcare technology. The post-holder will be proactive, capable of balancing multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and
-
multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and enrolling London schools in the study, collaborating with PPIE groups
-
learning “emulators” of multiple ice sheet and glacier models, based on large ensembles of simulations extending to 2300. The simulations will be from two international projects aiming to inform