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and data taking, designing and constructing upgrades to the machines, data analysis, literature research, and article writing. You will also take an active role in group activities, such as bachelor and
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, or optical detector characterisation. Experience measuring spectral responsivity, quantum efficiency, dark current or noise is an advantage. Ability to analyse experimental data and use scientific programming
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infection with Phytophthora or Ralstonia. You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen invasion and plant performance. Working
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to express the negator (‘not’) early rather than late in the utterance. You will learn to use multiple methods, including artificial language learning and EEG, collecting data from different language
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for inclusive eHMIs. Design accessible VR simulators for people with disabilities. Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions. Conduct real-world testing
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preclinical therapy development. Work collaboratively across different research environments, integrating findings from zebrafish models with data from mammalian models and other experimental systems. As part
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power, latency, and memory bandwidth issues with reliable fault detection. Information As part of the REACT Marie Skłodowska-Curie Actions (MSCA) Doctoral Network initiative, we are seeking a highly
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can count on dedicated support throughout the process. Whether you're formulating your research questions, collecting samples in the field, analyzing data, or publishing your findings, you'll be
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where