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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
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close to the nest [1 ] but to better understand foraging, we need landscape level detail. The direction of the project can be tailored, but could include developing and applying Bayesian ML approaches
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an adhesive heavy application, and to find methods for End-of-Life disassembly. Battery pack construction uses adhesives to fix multiple cells in place, creating a block of battery modules. The adhesive has
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are suitable. The aims of this project are to Review operating characteristics proposed for rare disease trials Develop novel Bayesian operating characteristics for different types of rare disease trials Apply
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
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): Network-level design and multi-node cooperation (coordination, topology design, distributed/federated learning, etc.) Wireless resource allocation and scheduling under multi-objective KPIs (rate, latency
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can automatically be extended to a total of 4 years, provided that the employer does not issue a non-extension notice within a maximum of 12 months. Your future tasks: You actively participate in
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driving invasion. You will work closely with our partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector
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perception of object shape and its encoding in languages across the world. The successful candidate will work with Prof. Larissa Samuelson on a longitudinal study tracking how children from 24- to 42-months
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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