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part of the Faculty of Science and Engineering, which comprises five schools and two institutes. This position is based jointly in the Centre for Complex Systems and the Centre for Geometry, Analysis and
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15,000 Emirati nationals investigating genetic, environmental, and lifestyle determinants of complex diseases. The successful candidate will lead and contribute to large-scale population genomic analyses
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on implementation science approaches, to guide implementation, evaluation, and continuous learning. Lead and conduct analyses that generate actionable insights for policy, program improvement, implementation, and
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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex
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for addressing complex physical and computational research questions. Excellent written and oral communication skills and the ability to communicate technical modeling results effectively to multidisciplinary
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2027 - 07:53 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Deadline 7 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and
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for self-driving and/or human-in-the-loop experiments; (3) computer vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading
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on predictive performance, the research will investigate methods to balance model accuracy and computational complexity, enabling the development of more sustainable modelling approaches. The project combines