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https://www.scilifelab.se/data-driven/ddls-research-school/ .The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! At the Department of Life
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approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models with emphasis on: Data-driven practical
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Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
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. Duties SciLifeLab is now recruiting Data Engineers to integrate AI within SciLifeLab’s ecosystem of data and IT services for data-driven research. The role involves developing and maintaining systems and
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, vol. 167, p. 115644, Mar. 2025. https://doi.org/10.1016/j.microrel.2025.115644 [2] A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
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-design and evaluate data-driven solutions. Support technology adoption among agricultural operations consistent with land-grant mission. Teaching & Workforce Development Develop and teach undergraduate and
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for an Active Ankle Foot Orthosis", Control Engineering Practice, vol. 169, 2026, 106757, doi: https://doi.org/10.1016/j.conengprac.2026.106757 . [4] O. Bey, Y. Amirat, S. Mohammed, "Adaptive Model-Free Control
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. The Quantitative, Systems and Engineering Biology (QSEB) cluster (https://warwick.ac.uk/fac/sci/lifesci/research/qseb/ ) is one of the core research clusters at SLS. QSEB-associated faculty carry out world-leading
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18 Apr 2026 Job Information Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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16 Apr 2026 Job Information Organisation/Company Université de Rouen Normandie Research Field Chemistry Technology » Materials technology Researcher Profile Recognised Researcher (R2) Leading