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human tumour models including organ/tumour perfusion, slice culture and organoids to ensure data is clinically relevant and to inspire the next generation of effective treatments. The post would suit
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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to the 4th February 2026. You will be investigating the safety and security implications of large language model (LLM) agents, particularly those capable of interacting with operating systems and external APIs
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such as plug-and-play methods and diffusion models, or specific applications such as Very Long Baseline Interferometry and black hole imaging in astronomy, or low-field magnetic resonance imaging in
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on the ERC project and your own research interests. You will apply state-of-art methods of social network analysis, such as Stochastic Actor-Oriented Models (training will be available). You will produce high
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work with in vitro and in vivo models of genetic diseases would be advantageous. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as
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40 Faculty of Historical and Cultural Studies Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4157
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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will 1) develop a hydrofibre based dressing loaded with AMP and perform confirmatory spectrum-of-efficacy studies using established wound models; and 2) compile a robust regulatory package including in
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in infectious disease epidemiology/ evolutionary biology and bioinformatics, with the ambition to advance global public health. In the first year, the successful candidate will incorporate models