Snabbfakta
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- London
Ansök senast: 2025-02-07
Research Assistant with funding to undertake PhD
We are seeking an applicant for a fully-funded HORIZON-MSCA-2023-DN Research Assistant position with funding to undertake PhD in the Computational Regulatory Genomics Group led by Professor Boris Lenhard. The overarching mission of our research group is to understand mechanisms that drive the expression of key regulatory genes shaping animal development and encoding a specific subset of transcription factors, cell adhesion molecules, and signalling proteins.
In our friendly and highly collaborative team, you will be a part of the DANIO-ReCODE Doctoral Network and lead an integrative computational analysis of animal regenerative pathways and their regulation, based on novel multiomics data produced by experimental laboratories participating in the network. This ambitious project aims to identify unique and shared regulatory events occurring at different stages of regeneration and across different regeneration models; characterise the promoter features and regulatory landscapes of genes downstream of each key transcription factor; compare these promoter and regulatory landscapes across short and long evolutionary distances; develop and release software tools for these comparative analyses; generate hypotheses for experimental validation by partner laboratories and analyse the validation data in collaboration with the network partners.
During the funding of HORIZON-MSCA-2023-DN you will be eligible to complete your PhD studies. You will receive extensive training in computational genomics, statistics and machine learning and attend computational biology courses for PhD students co-organised by Professor Lenhard. This training will give you a chance to become a highly competitive researcher in computational biology. As a member of the DANIO-ReCODE Doctoral Network, you will have an opportunity to visit partner research groups and benefit from the training in experimental methods and data generation that they can provide.
The eligibility criteria:
