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strategies, discovered within our group, to combat heart failure. The work will integrate studies using isolated cell systems with advanced in vivo models, with a particular focus on characterising newly
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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research projects investigating novel strategies, discovered within our group, to combat heart failure. The work will integrate studies using isolated cell systems with advanced in vivo models, with a
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of Univ.-Prof. Tarja Knuuttila. The main research areas associated with this professorship are general philosophy of science, with focus on scientific modeling, interdisciplinarity and philosophy
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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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managing and working with complex, high-dimensional datasets, ideally in the life sciences, and should be comfortable using open-source data management and analysis tools (e.g., R, Python, SQL, or similar
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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publications and outputs to support capacity building activities and a long-lasting socio-economic impact. You’ll work closely with Dr Chiara Candelise to study how and whether varying business models and
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security screening before you can commence in the role. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in