Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Life course Exposome Research and Translation). You will be required to have a degree in computer science (or degree with strong computational component e.g. mathematics, physics, biomedical engineering
-
pathogens and vectors, using artificial intelligence¿. In this role, we are looking for a senior bioinformatician, with expertise in machine learning and large-scale analysis (particularly genomics and/or
-
and large datasets. With a good understanding of digitisation of systems and digital twins and keen interests in key areas of AI such as contextual analysis, computer vision, machine learning, deep
-
partners. We are seeking one researcher to join the project on a full-time basis to lead and work on the Liverpool elements of the project. This will involve the design, modelling, and test of vapour
-
expertise in large-scale data analysis e.g. using HPC. You should have a PhD in structural bioinformatics, or related area, and interest in understanding protein structure/function. Knowledge of machine
-
communication. You should have substantial experience in: placing and presenting your results at international events. providing data analysis with qualitative research methods. disseminating of results
-
immunology groups. High-throughput formulation and multiscale characterisation (rheology, laser-diffraction particle size analysis, confocal microscopy, computational image analysis, SAXS) methodologies will
-
International Professorship. The Liverpool muon group is involved in data analysis for existing experiments and in the development of future experiments and theoretical techniques to study the properties of muons
-
We are seeking a Postdoctoral Research Associate with expertise in mass spectrometry-based protein analysis. You will be part of a team of exceptional researchers supporting our recently awarded
-
critical part of the innovative research in the field of Digital Energy Systems. The project is sponsored by UKRI with the aim to conduct modelling, analysis and optimisation of smart power distribution