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) Established Researcher (R3) Application Deadline 26 Aug 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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-guided design-build-test-learn workflows, and open algorithms, benchmarks and reproducible research. This is an exciting opportunity to help shape a frontier AI for Biology programme, publish high-impact
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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing
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implementing bioinformatics algorithms, your work will directly shape how biological questions are translated into computational analyses, enabling researchers to unravel complex traits and predict phenotypic
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the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data. This Postdoctoral Computational Biologist will also help with the generation
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scripting languages and other high-level programming languages. Leverages expertise in computational algorithms and systems, HPC applications and data processing, design principles, and computational
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data-driven decision-making by providing consultative analytics support, applying established methods rather than developing novel algorithms. Job Duties Data Pipeline Development and Data Preparation
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knowledge by applying statistical, algorithmic, mining and visualization techniques. Data Strategy and Innovation plays a critical strategic role within Advancement, providing the analytical framework, data