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further develop quantitative spatial analysis methods and Python-based workflows using the MuSpAn (Multiscale Spatial Analysis) framework, extend analyses to additional patient cohorts, and prepare findings
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for Immuno-Oncology and the Cancer Research UK Oxford Centre. They will apply and further develop quantitative spatial analysis methods and Python-based workflows using the MuSpAn (Multiscale Spatial Analysis
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
research (e.g., Python, TensorFlow, PyTorch). Record of publications in top-tier conferences or journals in bioinformatics, AI, or related fields. Strong problem-solving and analytical skills. Excellent
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astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in supernova cosmology, statistical or systematic-uncertainty analysis, or large-scale
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biological datasets, including high-throughput and/or multi-omic data, together with proficiency in relevant programming languages such as R and/or Python and experience developing reproducible computational
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scientific programming skills (Python); research experience in time-domain astrophysics, supernovae, galaxy evolution, cosmology or survey science. Excellent communication and teamwork skills. Application
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research or data-science projects. Strong programming skills, preferably in Python, together with sound software-engineering practices. Experience analysing or managing large, complex biological, biomedical
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machine-learning methods to weather forecasting, climate analysis, or spatial data. Strong background in spatiotemporal modeling, probabilistic prediction, or time-series analysis. Proficiency in Python and
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. Python) and experience with commonly used machine-learning and AI tools. Strong publication record in leading conferences or journals. Excellent English communication skills, both oral and written, and the
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, significant coding experience (both Python and C/C++ or P4), and a record of working in a Linux environment and related scripting languages. How to apply Applications for this vacancy are to be made online via