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programming skills for data analysis. Excellent organisational and communication skills as well as ability to work as part of a team are essential. This is a fixed-term appointment available for 1 year. If you
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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machine learning, computer vision, human-computer interaction, or similar relevant areas. Experience in research or development on bias, interpretability, and/or privacy in machine learning/AI is necessary
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Chemistry Laboratory, South Parks Road, Oxford and is available from 1 August 2025. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting
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potential to uncover new mechanisms governing the fundamental biological process of gene expression. The planned research, funded by an HFSP Research Grant, is a close collaboration between the Wrobel Lab
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of the expansion is to reduce the frequency of collisions, so that chemical and thermal relaxation processes are slowed down. There are indications that commonly accepted rate constants for non-equilibrium
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Materials & Composites Laboratory: https://eng.ox.ac.uk/mmclab/) in the Department of Engineering Science at Oxford University. The post is funded by the ERC Proof-of-Concept (PoC) grant: RESILIENT and is
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to DNA damage-induced transcription stress. This post is fixed term for 3 years. What are you going to do? In this fully-funded project, you will: • employ advanced biophysical instrumentation