Sort by
Refine Your Search
-
experience in working with human neuronal cell lines that provide models of understanding the biology of protein aggregation and its phenotypes. About you Applicants must hold a PhD in Chemistry or a relevant
-
, biochemistry, cell-based and model organism. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
-
and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism. To address these questions, we
-
analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets
-
new understanding to bridge the gap between existing models for well-established hard and soft semiconductors. The resulting discoveries will provide a blueprint for light-harvesting materials, guiding
-
language processing (large language models) to investigate the brain computations supporting planning in humans, and how this can go awry in psychosis. What We Offer As an employer, we genuinely care about our
-
lowland river chemistry. Ultimately, these experiments will be used to parameterise calcite precipitation rate equations and empirical rate constants to inform catchment-scale modelling of ERW practices and
-
administrative activities which involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will design and perform original research using in vivo disease modelling
-
, purpose-built Life and Mind Building (LaMB) a multidisciplinary research and teaching facility due to open in the summer of 2025. This role focuses on investigating how impairments in world and goal models
-
fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot