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applicant will be expected to Conduct wideband radio propagation measurements in typical indoor and outdoor environments and analyse the data using Matlab code to estimate the appropriate channel parameters
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8315F Research Area: Marine Science Select ‘PhD Marine Science (full time) as the programme of
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data are in the form of codes from standardized coding systems, such as SNOMED-CT. These codes need to be converted to features in some way prior to being used in analysis. One way of doing this is to
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the programme code: 8208F · leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further
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approach for detecting sparse, unlabelled events in noisy multivariate time-series • Why this project appeals to you now Code sample (optional): GitHub repo/notebook demonstrating your implementation
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Full-time, fixed-term contract for 30 months. Interviews will be held: 21st January 2026 By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker
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analytical skills, statistical awareness and good attention to detail and will be capable of interpreting and writing code written in MDX, DAX, SQL and .Net. Specific aspects of the role include: Develop
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problem-solving skills are essential, including experience with Pen World Table data, coding, and dynamic general equilibrium models. Excellent communication skills, both written and verbal, and the ability
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experience 2. Significant experience of monitoring multi-centre clinical trials in accordance with GCP (including source data verification) 3. Working knowledge of the regulations, guidance and codes
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), and colleagues from the NHS. Your primary role will be to prepare data for analysis, including extracting, cleaning, merging, and coding data from clinical records. This is a fantastic opportunity for a