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. The Postdoctoral Fellow will hold a PhD or equivalent degree (e.g., ScD, MD, DVM, DrPH). Under the guidance of Dr. William Pan, the Postdoctoral Fellow will perform full-time, independent research, consistent with
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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across diverse scientific data modalities such as structured databases, ontologies, and unstructured text. The goal is to enable automated hypothesis generation and obtain scientific insights, with
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
information collected from molecular data and explore in combination with existing knowledge on environmental conditions using ecological statistics Characterize environmental consequences of nodule mining and
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or related field; • Strong expertise in machine learning, deep learning, and data mining; • Experience with multimodal data analysis (e.g., eye-tracking, EEG, fNIRS) is highly desirable • Proficiency
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of wastes/residues from mining and industrial sites. Conduct analytical measurements, collect research data and data interpretation. Write scientific articles and reports and assisting in the preparation
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model
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the final stages of PhD submission Track record of writing papers as evidenced by publications or submitted manuscripts in referred journals Evidence of data presentation at scientific meetings Excellent
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recognised scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role This is an exciting opportunity for a postdoctoral research
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and data mining tools, and be able to work on group software projects using modern tools and environments. Interest in applying AI within the defence and security sectors is essential, but experience in