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(DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related
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for three years. About You The successful candidate will have an excellent research and publication record for their career stage, and an ambitious, independent, and viable research plan. Applicants must have
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neural network based methods for designing genome editing strategies to treat rare diseases. The postholder will join a large multidisciplinary team covering molecular methodologies, genomics, single cell
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features where necessary. Ability to liaise with researchers at the University of Durham and EEF to design evaluation studies to ensure that automated solutions reach required levels of accuracy
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of the community Excellent organisational skills, with the ability to plan and prioritise own workload to meet project targets Competence in quantitative research methodologies and statistical analysis Capacity
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; London School of Economics and Political Science | London, England | United Kingdom | about 8 hours ago
funded project that focuses on identifying and assessing incentives that aim to incorporate innovation in health care delivery processes. This involves conducting research on a case study on NHS England’s
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. Main Duties Assist in the design and development of interview protocols and data collection materials. Recruit and schedule participants for interviews, ensuring compliance with ethical guidelines and
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Women Mayors in the United States (VAWUS)." This research aims to understand the consequences of violence against women mayors, assess the effectiveness of interventions to mitigate such violence, design
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: Experience with software development and experimental work in Digital Design of programmable and high-performance networks. Experience with FPGA-based implementation of encryption and decryption algorithms
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) • Demonstrated knowledge of MRI physics, particularly that relevant to MRI or MRS sequence design • Expertise in software programming using, for example, C++, MATLAB, or Python • Strong