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funding, apply rigorous quantitative and qualitative methods, and translate evidence to inform policy and practice. Teaching: Develop and deliver undergraduate and postgraduate teaching across different
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), machine learning algorithms, and perception methods can improve the autonomy, robustness, and precision of robotic manipulation in challenging environments. The project lies at the intersection of control
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areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 2 hours ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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patented a microfluidic method for understanding platelet activity with potential to predict thrombosis risk and associated heart attack and stroke risk. These are poised for commercialisation in readiness
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As Senior Computational Biologist, you will: Develop cutting-edge methods to predict which somatic mutations drive clonal expansion Integrate large-scale multimodal omic datasets from healthy and
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objectives. The Research Fellow will be responsible for: • Developing and applying bioinformatics and statistical methods to support clinical and infectious disease research using R and high-performance
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0.5 FTE. Background Applications are invited for an ambitious Mixed Methods Research Fellow to work at the University of Birmingham across a nationally-leading research programme funded by the National
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the Commissioner's office and Agency partners. You will analyze complex datasets, develop and document analytical methods, and contribute findings to policy-relevant outputs. This will include relational databases
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project funding. Purpose of the post The Senior Research Fellow will lead the development and application of advanced mathematical and statistical modelling methods to support clinical and infectious