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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling
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1st October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Robotics and Intelligent Mechatronic Systems
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undergraduate students. The appointment commences for the fall 2027 semester. Qualifications Minimum Education and Experience: A PhD or equivalent in Psychology or a related discipline is required prior
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athletes and coaches currently use tracking and feedback technologies, design and develop interactive systems and interfaces that capture subjective experiences and deliver timely, context-aware feedback
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
play a pivotal role in these cavities. This research opportunity aims to understand the physical processes governing ice-ocean interactions in these different ice-shelf cavities using a combination of
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Word. Experience of working with electrical circuits and software interfaces (e.g. LabVIEW, Arduino), mechanical testing procedures, or a relevant professional membership (e.g. RSciTech) would be
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute to pioneering research at the interface of materials science
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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part of future bioelectronic interface systems. You will develop and apply in vitro and ex vivo biological models to test how candidate fungal materials interact with neural, glial, immune and barrier