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15 Jul 2026 Job Information Organisation/Company RPTU Research Field Environmental science » Earth science Physics » Applied physics Engineering » Water resources engineering Researcher Profile
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tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE ACTIONS (MSCA) Doctoral Network (DN) MOtorized NAnomachines: fundamentaLs
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-process-in-a-nutshell . For more information on degree requirements and the application process, please visit https://www.helsinki.fi/en/research/doctoral-school . Working environment and benefits
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of new research questions linked to primary programme objectives in the primary areas listed -facilitate the preparation of presentations to academic and non-academic audiences and key stakeholders Develop
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
How do molecular interactions give rise to biological function? How can materials acquire adaptive behaviour and process information? Although these questions arise in different scientific
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. Mathematics is the key to unlocking innovation and addressing these complexities. They all require new, predictive models that can link the processing and microstructure of formulated products to their final
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For the winter semester: 15 October - 28 February More information on application periods Please find more details on this website . Combined Master's degree / PhD programme No Joint degree / double degree
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longitudinal clinical data, including medical text narratives, multimodal radiological imaging, and laboratory trajectories, to create AI systems that clinicians can understand and trust. All components will be
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29 Jul 2026 Job Information Organisation/Company Centre Internacional de Mètodes Numèrics en la Enginyeria Research Field Engineering » Industrial engineering Researcher Profile First Stage
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that you apply early as the advert may be removed before the deadline. This project is a collaborative initiative between SLB and the University of Manchester, aimed at developing a data-driven digital twin