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workflows, Data normalization and quality control strategies, Strong experience in processing and interpreting complex MS datasets; Track record of peer-reviewed publications in relevant fields; Excellent
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Community of Practice, synthesising the process and outcomes of the Community of Practice for the wider consortium and EU; Work closely with the DEMO site partners across Greece, Spain, Italy, France
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close to obtaining a PhD, in neuroscience, neurobiology, biomedical sciences, biomedical engineering, psychology, computational neuroscience, or a related discipline. Strong experience with ultrasound
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scientific basis for the implementation and evolution of Digital Twin Earth, an advanced high-resolution replica of our planet, its processes and its interactions with human activities and ecosystems. You are
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in Condensed Matter Physics, Nanoscience or Nanotechnology, or Electrical engineering. Experience is required in one or more of the fields listed above, gained in academic research projects. What we
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users to bring quantum technology to the market . This project is embedded in the Quantum Delta NL Ultracold Atom Quantum Sensing Testbed , which will allow you to contribute to many interesting projects
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models and agents: how to consolidate and transfer physical knowledge into learning systems for the real world. Physics engines and physics-informed neural networks are powerful, but the open problems
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. The research is broadly focused on automated intervention design. An intervention is any external interference in an ongoing process that is performed to achieve a particular outcome. Being able to answer
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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by