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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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(MCU-PH). The PhD student will be co-supervised by Dr Julie Bernardor and Dr Stoyan Ivanov (immunologist, expert in myeloid cell biology), and will more broadly benefit from established collaborations
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of novel CAR-T cell therapies targeting pediatric central nervous system tumors, with a specific focus on rhabdoid tumors (AT/RT). The candidate will work under close supervision within a multidisciplinary
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for SW defined mobile networks (such as OAI) and O-RAN is a plus International experience is a plus LanguagesENGLISHLevelExcellent Additional Information Benefits 30+ days of paid holidays Flexible working
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co-encapsulation, stability, and self-assembly using techniques such as fluorescence cross-correlation spectroscopy and small-angle X-ray scattering. Perform cell-based studies to investigate
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at the Department of Management and Organisation. Undertake collaboration with the industry partner and a separate academic mobility visit. Contribute to research integrity, equality, responsible AI, open science and
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the industry partner and a separate academic mobility visit. Contribute to research integrity, equality, responsible AI, open science and FAIR data practices. Supervision, training and mobility Project contact
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stem cell-based and animal research. Prior experience with cell culture techniques, behavioural and neurological phenotyping, and handling mice is an advantage. Planned secondments will provide
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data; AI-based prediction of cell and exosome distribution in regenerative biomaterials. The candidate will receive interdisciplinary training in biomaterials research, advanced imaging, quantitative
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research towards better cardiometabolic health. Through collaborative interdisciplinary research from single-cell genomics to whole-body systems, CBMR aims to transform the basic understanding