Sort by
Refine Your Search
-
for carrying out research on the European Research Council Project METACOMP on “Meta-Complexity: A Unified Approach to the Complexity of Proofs and Computation”, with Rahul Santhanam as Principal Investigator
-
these methods to complex heterogeneous semiconductors. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential. Applicants should be
-
Pathology group. You will be part of a bigger EU-funded project which goal is to develop a safe and efficient cell therapy based on genome edited T cells for IgA nephropathy (IgAN). IgAN is the most common
-
application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
-
About the role We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to understand the evolution of the membrane
-
-assembly, molecular binding, and catalysis. The project aims to overcome current data and methodological limitations to enable predictive modelling of complex supramolecular systems. This post is fixed term
-
. The group investigates both the fundamental properties of these proteins and their applications in biotechnology. A long-standing focus of the laboratory is the engineering of protein nanopores
-
system. This work will support the validation of therapeutic targets emerging from clinical studies, contribute to early detection and monitoring research, and integrate with multidisciplinary surgical and
-
gene perturbation, and advanced image analysis methods. You will analyse and present complex imaging datasets, contribute to scientific reports and publications, support laboratory management, and work
-
. Prior experience with iPSC-based neuronal and glial differentiation is essential. Experience with multi-electrode array (MEA) methodologies and multi-omic approaches (e.g. single-cell transcriptomics