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Field
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at the Guy's Campus at London Bridge, this position is part of the Cardiovascular Digital Twin network (CDTnet), which consists of 15 fellowships across Europe funded by the European Research Council’s MSCA
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, and hypothesis generation. Integrate transcriptomic, epigenomic, spatial transcriptomic, and other multi-omics datasets. Perform gene regulatory network, transcription factor, pathway, and cell-state
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work and placements. Collaboration & Networking (10%): Build and maintain collaborative relationships with internal and external partners, build research networks, and coordinate shared projects
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: FastTrackAI: Fast-Tracking AI for Scientific Discovery with Accelerated Networking and Computation on Modern Architectures in Singapore Project Introduction: The advancement of accelerated computation and
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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communication skills for scientific writing and presentations Willingness to work within an international network and to support a positive research culture Desirable Project-Specific Qualifications and Skills
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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clinical, public health or industry partners to progress translational diagnostics and build collaborative networks. You may be a great fit if you: Hold a PhD in Microbiology, Molecular Biology, Biomedical
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requirements facilitate timely report submissions, maintain data integrity within University systems and support compliance initiatives coordinate stakeholder meetings, workshops and community engagement