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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
DNA thermodynamic database, coarse-grained simulations of DNA motifs, and existing experimental data to establish an AI model that is able to guide the construction of desired secondary structures
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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skills and other skills relevant for the position 3. Master of Science diploma and transcript of records. If not completed, a certified/signed copy of a recent transcript of records or a written statement
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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Investigator: 1. Contribute as part of an interdisciplinary team to the creation, quality control, and usage of a novel full-scale digital twin dataset for the UK and related simulation infrastructure. 2
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. education, experience, language skills and other skills relevant for the position 3. Certified copy of original Master of Science diploma and transcript of records in the original language, including
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part of the NWO-M 2024 research project “Real Fake: How Highly Immersive Disinformation Affects What People Believe”. The project investigates how people respond to immersive disinformation: highly
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the 36 months immediately before the recruitment date Specific Requirements RESPONSIBILITIES Collaboration in publicly funded project QuRIOUS (https://www.quriousclocks.eu/ ) Simulation/design/installation
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the physics of synthetic frequency lattices in fast-gain lasers. Job description Develop simulation frameworks for frequency lattices, mapping the interplay of RF modulation, gain recovery, and nonlinear