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Field
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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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). The RAs will help us to improve an existing Python code base for creating 3D models of ancient artifacts from large datasets of 2D images. The main qualifications are prior experience working on large
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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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physics or closely related field. •Experience with data analysis and associated statistical methods. •Strong programming skills (C++, Python, ROOT, etc.) •English proficiency (written and spoken) is
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R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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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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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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reactions, catalyst surfaces and interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software