Sort by
Refine Your Search
-
Employer
-
Field
-
Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
-
opportunity for a highly motivated and skilled Research Associate/Assistant in statistics to join the EPSRC funded project PINCODE: Pooling INference and COmbining Distributions Exactly: A Bayesian Approach
-
The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | about 1 month ago
contacts to achieve progress on shared objectives Ensure delivery of timely quality outcomes, through providing the right resources to do the job, reviewing and adjusting performance expectations and
-
, deal with problems which may affect the achievement of research objectives and contribute to the planning of the projects. Collect, analyse and interpret research data and draw conclusions
-
publications in reputable outlets appropriate to the discipline Co-ordinate own work with that of others, deal with problems which may affect the achievement of research objectives and contribute to the planning
-
administrative activities, with guidance as required, ensuring that project aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information
-
quality journals/conferences E6 Experience of making a leading contribution in academic activities E7 Ability to demonstrate a degree of independence as illustrated by identification of project objectives
-
in Northumbria University for this EPSRC-funded project. The primary objective of this project is to harness the unique capabilities of synthetic biology and microbial biotechnology to exert genetic
-
engaging outputs which explore what constitutes an end, who should decide and what should happen after. This is an exciting and varied role that involves developing and delivering the research objectives
-
, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability