Sort by
Refine Your Search
-
learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
-
. Experience in human embryology and cell biology methods, including next generation sequencing is essential. The successful candidate will be highly motivated and enthusiastic with an outstanding academic track
-
mice Extensive experience analysing single-cell RNA sequencing datasets Desirable criteria Background in mammalian cerebral cortex development 2Background in epigenetic regulators XXXX Downloading a copy
-
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 and glacier models, based on large ensembles
-
of liver metastases and 2) ex-vivo MRI of human liver tissue specimens. You will be responsible for the sequence implementation, data acquisition and analysis, including biophysical models of liver tissue
-
, metabolomics). Significant practical laboratory experience [e.g. nucleic acid extraction techniques (both manual and automated), developing real-time PCR assays and gene sequencing methods, ELISA. Being highly
-
partners to ensure alignment of research goals with user needs. This is a full-time post, and you will be offered an a fixed term contract for a duration of 23 months. The desirable start date is October
-
advantage. The PDRA will expand their research skills through working with multiple sources across the study region and its zones of contact as feasible. They should have knowledge of the relevant history and