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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part
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with your experience level, is also desirable. You will also be encouraged to participate in the group’s vibrant outreach programme. This role has secured funding until June 2027. Please contact Prof
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activities such as workshops and impact-oriented events. This is a unique opportunity to inform the work programme of an exciting new interdisciplinary centre for Joined-Up Sustainability Transformations
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
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Newcastle Drug Discovery Programme and as a partnership with Cancer Research Horizons and Astex Pharmaceuticals. It is ideally suited to candidates with a background in organic chemistry, medicinal chemistry
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Experience implementing mixed-integer, conic or nonlinear programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience with unbalanced distribution system analysis tools (e.g., OpenDSS
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responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level. Key Accountabilities Contribution to the research programme of
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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program
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and deliverables are achieved in line with the project plan The Person (Essential) Knowledge, Skills and Experience Hands-on experience with microbial/microcoms incubation techniques, soil/sediment
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an integrated programme of medicinal chemistry and further screening, PTSuppress will optimise these lead compounds and repurpose already approved drugs. Ultimately, we will validate the best compounds/drugs