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) has led to increased energy consumption in data centers, raising concerns about carbon emissions. To address these challenges and support sustainability goals, the project DecAI aims to dec arbonize AI
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, and materials science. The successful candidate will have: PhD in biochemistry, molecular biology, protein sciences or a related discipline. Additional research experience in industry or a post-doctoral
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of liver metastases and 2) ex-vivo MRI of human liver tissue specimens. You will be responsible for the sequence implementation, data acquisition and analysis, including biophysical models of liver tissue
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reaction. Expertise on data analysis with R or Python tools. Experience in processing of targeted and untargeted mass spectrometry datasets, ideally in the field of lipidomics or other omics sciences
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an excellent team of computational biologists with whom we have a long-standing collaboration. The candidate will have to work closely with the computational team for data analysis and interpretation. This is a
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, geospatial data), clean and manipulate them into analysis read versions. - Identify new and emerging data science techniques that will enhance project design and analytical rigour. - Planning, conducting and
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available immediately on a fixed-term basis for two years in the first instance, with a possibility of extension. The successful applicant will perform laboratory-based research and bioinformatic analysis
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We are seeking to appoint a highly motivated Postdoctoral Researcher to join the research group of Professor Ignacio Melero, MD PhD, at the Oxford Centre for Immuno-Oncology within the Nuffield
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, advanced laser spectroscopy and interferometry, including ultra-fast methods Strong hands-on skills in experimental research (optics lab), including automation of data acquisition and data analysis Proven
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience