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by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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working with radioactivity, both sealed and unsealed sources Experience with 3D cell cultures(tumor spheroids) Experience in DICOM image quantitative analysis Experience in imaging phantom design
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candidate will be responsible for the design, coordination, and technical supervision of key tasks in the national projects. The position offers a high degree of autonomy and responsibility and is ideal
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journals or research conferences. Expertise in one or more of the above areas of interest. Experience with neuromorphic computing, IC design, embedded systems, or AI. Experience with research on Neuromorphic
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DCs a comprehensive education encompassing the latest developments in MCF, component and subsystem design and implementation, and the practical engineering aspects of MCF-based systems and networks
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This PhD project aims to computationally design improved transparent oxide scintillators for X-ray detection applications. New materials are needed for X-ray detectors because existing detector
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). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory design). Knowledge of sustainability issues impacting the medical devices industry
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, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract kinetic information. Evaluate bioconjugation
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research within the scope of ongoing research projects Design and modelling of a high-speed induction machine Structural dynamics, strength, and rotor dynamics for high-speed applications Design of magnetic