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understanding on the origin of nucleic acids that are shed in liquid biopsies, such as blood, using cancer models (mouse and rat) and patient samples of neuroblastoma disease, a rare childhood cancer. Nucleic
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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for H2 production, plastic waste recycling, etc). Operation of various types of plasmas at atmospheric pressure (or slightly above), mainly warm plasmas (microwave, gliding arc, arc), but also DBD
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environmental, economic, and social sustainability of offshore wind farms (OWFs) across their full lifecycle. The platform will integrate life cycle assessment (LCA), marine ecosystem impact models, and a digital
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nanotubes. The most efficient catalysts will be characterized ex situ by electron microscopy and x-ray photoelectron spectroscopy, and under operating conditions by X-ray absorption spectroscopy (XANES and
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learning surrogates. In order to expand from the boundaries of the learning space, effectively generalize knowledge and extrapolate behaviour for unseen conditions, unseen locations and even unseen turbines
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Job description We are hiring a doctoral fellow on the topic of building stock modelling. Starting from reviewing the existing building stock modelling approaches, you will develop a building stock
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platforms and case studies representative of boreal, temperate, and Mediterranean biomes with novel bioeconomic modelling and high-resolution modelling and mapping of complex risks. Our activities operate
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) to simulate material degradation under coupled mechanical-electrochemical conditions. You will start working on in-house implemented coupled deformation-diffusion-degradation material models, and focus
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depth and EEG electrode measurements. Finally, the closed-loop ultrasound technology will be tested in the intrahippocampal kainic acid mouse model in this Ph.D. project. You hold a Master’s degree