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practice while supporting complex tasks such as image and video enhancement, layered editing, and object-level content manipulation. The candidate will contribute to 1) algorithmic development, including
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acquired experimental data. These calculations, complemented with chemoinformatic studies, will be used to subsequently develop machine learning algorithms to predict these properties and ultimately estimate
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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. The broader research environment also includes the EPSRC-funded AI hub for Chemistry (AIchemy), Co-Directed by Prof. Jelfs. For those with significant experience post-PhD, there is the possibility to be
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, and you will work closely with multidisciplinary teams, from assay design, small molecule screens and chemical biology and microbiology (Prof Ed Tate) to data science (Dr Marko Storch) and AI/ML (Prof
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molecule screens and chemical biology and microbiology (Prof Ed Tate) to data science (Dr Marko Storch) and AI/ML (Prof. Alessandra Russo, Prof. Ramon Villar, Prof. Mauricio Barahona). In addition to your
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. Strong computational and programming skills, including experience with numerical methods and algorithm development. What we can offer you: The opportunity to continue your career at a world-leading
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We are seeking an ambitious and creative chemical biologist with strong synthetic chemistry skills to join the group of Prof Ed Tate at Imperial College, working on design and application
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London, the University of Oxford, and GSK to establish a world-leading hub for model-informed medicine. You will also be working alongside Prof Steven Niederer’s computational and Prof Saman Sadiquis
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teams, from assay design and microbiology (Dr Andrew Edwards) to data science (Dr Marko Storch) and AI/ML (Prof. Alessandra Russo, Prof. Ramon Villar, Prof. Mauricio Barahona). In addition to your