Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
-
environment using models and data assimilation. We study the fundamental processes in the near-Earth environment and focus on understanding fundamental processes responsible for the evolution of space radiation
-
environment. Further information Please ensure you submit your application via our website. Please note that during initial shortlisting, the panel can only see your application form and your answers
-
expertise in data science, with hands-on experience in techniques such as machine learning, reinforcement learning, and simulations, and in handling large-scale, within-person, or real-time datasets; A strong
-
research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
-
, the CREDO project will determine how religious belief affects the strength of religious priors during normative decision-making in various laboratory and field studies. Moreover, in a large-scale cross
-
of executive control, and contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including “big data” statistical methods, machine learning
-
distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis
-
disability and would like information in a different format, please email resourcing@essex.ac.uk .
-
of Epidermolysis Bullosa (EB), with a focus on developing personalised medicine. This role offers the chance to dive into big data, integrating single-cell RNA sequencing and spatial proteomics using the latest