Sort by
Refine Your Search
-
The post of Research Associate in Large Language Models for Process Automation will contribute to the development of an AI-powered framework for risk assessment and safety in continuous chemical
-
will be expected to participate in co-supervision of project students, oversee smooth and safe operation of the lab. Applicants should hold a PhD in synthetic organic chemistry or physical organic
-
on breath tests for respiratory infections in ventilated children, collaborating across disciplines and advancing your skills in bioinformatics and data science. You will lead and contribute to cutting-edge
-
language and familiarity with machine learning libraries (e.g., PyTorch). Experience in structural Bioinformatics, including the ability to manipulate protein sequences and structural data. Collaborative
-
learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine
-
, Spatial Transcriptomics or proteomics/mass spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl
-
culture by cell-to-cell fusion methods. Synergistic work tackling other key barriers in synthetic genomics will be done in parallel by postdocs in Oxford, Cambridge and Manchester that will be close
-
-function characterisation of critical host-virus interactions that regulate the influenza RNA polymerase, shaping the intricate processes of viral transcription and genome replication. You will contribute
-
Are you a dedicated, enthusiastic, and talented early-stage scientist in the field of Data Science? Do you have expertise in any area of Data Science including population genomics, bioinformatics
-
well as a transparent promotion process. Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes). Be part of a diverse, inclusive, and collaborative work