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ideal candidate. We are looking for a postdoctoral researcher with a PhD in one of the following areas: model-based testing and verification, formal methods for concurrency, automated analysis of hardware
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imaging, electrocardiogram (ECG) and electronic health record (EHR) data to improve diagnosis, management and outcomes of heart failure. About You You will have either a PhD in the relevant subject (e.g. in
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plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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student facing and are ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive department. They should be enthusiastic
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the joint supervision of Dr Gregory Chass and Dr Devis Di Tommaso in the School of Physical and Chemical Sciences at Queen Mary University of London (UK). About You The ideal candidate should possess a PhD
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science for the environment and sustainability. The role is funded for 24 months in the first instance, with an expected start date of July 2024. About You You will have a PhD and track record in either
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have a PhD in bone/skeletal research and/or immunology. Additionally, experience of in vitro (bone) cell differentiation and associated molecular, proteomic and imaging techniques is required. Experience
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. Applicants at the PDRA level must have a PhD in Computer Science or a related field. Expertise in intelligent decision-making under uncertainty is essential, relevant areas include influence diagrams, causal
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Time Closing Date: 23.59 hours BST on Monday 15 April 2024 Interview Date: Wednesday 15 May 2024 Reference: CBS-0074-24 Post-doctoral Research Assistant We are looking for an enthusiastic PhD level
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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and