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We are seeking to appoint a Research Fellow in Bacterial Evolution to join the UKRI FLF-funded research group of Dr Rachel Wheatley, based in the School of Biological Sciences at Queen’s University
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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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or related fields. Experience in research or relevant activities in the project area, such as data analysis, statistical modelling, or software development. Good knowledge of statistical programming
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ambitious programme of research and publication during the tenure of the Fellowship, which may involve the further development of doctoral work or an entirely new project, and which is demonstrably grounded
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of the I&D Pro - LifeSkills, funded by the FEDER – Fundo Europeu de Desenvolvimento Regional through the Research and Development Incentive System, under Portugal 2030, reference NORTE2030-FEDER-01473200, in
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curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development. Much of the work at LTG, though not all
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development, HIL validation, and system optimization. Support documentation, reporting, and dissemination of research outcomes to stakeholders and industry partners. Technical Responsibilities: Develop and
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experience in the following areas: Development and application of Artificial Intelligence to complex problems; Autonomous systems and robotics, including drones applied to urban mobility; Data analysis
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laboratory experience in areas relevant to the project, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models
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to the development and application of new approaches to safely reverse aging and treat both rare and common diseases, while actively supporting the collaborative and innovative environment of the lab. Salary and