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motivated PhD candidate to develop next-generation one-way transparent optical films based on liquid crystal polymer technology. The position is embedded in the research group of Dr. Danqing Liu at Eindhoven
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receiving a diagnosis, while the current gold-standard CFT test is invasive, costly, painful, and limited available. In this PhD project, you will help develop the first blood-based test for ANOCA, combining
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to e‑wax), and long-term stability. By combining advanced kinetic studies with state-of-the-art operando characterization techniques, you will develop fundamental insights that enable improved catalyst
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innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you
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devices comprising hundreds of atoms and multiple magnetic centers, pose a huge dilemma in quantum chemistry between system size and complexity. To overcome this challenge, we will develop a new quantum
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
external stimuli such as humidity, temperature, electric fields, bending, and repeated switching cycles; develop standardized measurement protocols for optical alignment, sample handling, measurement
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quantum computing with decades of expertise in computational science. In this PhD project, you will help develop the foundations of Quantum Computational Fluid Dynamics (Quantum CFD). You will investigate
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under budget constraints. Apart from the research project, the candidate is expected to contribute (10% of total workload) to the teaching and supervision of Bachelor and Master students. Where to apply
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countries. Best of all, you will not do this alone: you will be part of a vibrant, international cohort of 11 doctoral candidates who train, travel, and tackle the challenges of quantum-secure communication
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to technical, legal and organizational constraints. As a PhD candidate, you will develop novel decision-making methods that enable robust decisions for heat transition planning despite these data-sharing