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on established expertise in nanoparticle synthesis and surface chemistry, this project will optimize nanomaterial design for circulation, targeting, and therapeutic performance in neuroblastoma organoids, enabling
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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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; iv) Optimal operations of energy systems. A doctorate is required at the starting date. The candidate is expected to develop an independent and internationally competitive research program in our
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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models
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. PhD Position on Nanozyme-based coating for antimicrobial implants Your tasks Design and synthesize nanozymes: Develop nanozymes, and optimize their physicochemical and catalytic properties. Develop
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probes for cryo- SPM Development and optimization of wafer-scale micro- and nanofabrication processes, including integration of sensing, actuation and electrical functionalities Mechanical, electrical and