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the evidence–base needed to understand the impact on health, to inform public policy, and to develop potential mitigation strategies. Traditionally, this information has come from ground monitoring networks
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modelling framework multiple ML tasks as mentioned above, to ease the development burden from users. It will research unified and modular modelling strategies, capable of optimally fusing and aligning diverse
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rhabdomyosarcoma), fragmented data from multiple small series has hampered global elementary understanding of metastasis biology and - therefore – targeted therapy development. It remains unresolved – and is
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institutions, and a provider of research and development for companies throughout the world. The INM is an institute of the Leibniz Association and has about 250 employees. The Research Department Materials
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
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STEER (Science & Technology Entrepreneurship Education & Research) Advancing Science and Technology Entrepreneurship Education and Research through the Development of Pedagogies and Student
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materials and we utilise these non-absorbed X-rays to massively increase image contrast and reduce radiation exposure using coherent synchrotron radiation. We have developed these “phase contrast” and “dark
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for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
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actively contribute to this strategic initiative by researching and developing scalable, practical frameworks for implementing Trustworthy AI principles in diverse projects and across multiple technology
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of sample processing and method development with multiple contract research organizations relating to toxicity, ADA and sample storage/labelling/stability studies will also be key responsibilities