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decarbonisation pathways for mining, heavy industry and liquid fuels. This is an opportunity to make a meaningful contribution the broader industry and resource sector decarbonisation pathways through rigorous
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of the candidate), in visualization and data analysis, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across faculties, renowned
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AI experts: Conversational Semantic Search, Question Answering Systems, Complex Information Extraction. Fact-Checking, Argument Mining, Automated Planning, and Decision-Making. Full-time position (100
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positions available at all levels, from Lecturer to Full Professor, for the following programmes: Civil Engineering / Mining Engineering: Emerging and disruptive construction technologies / High-performance
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, chemical metallurgy or materials science/engineering relating to the mining and recycling sector with relevant PhD degree in this domain. Proven expertise, research supervision and research track record
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into protein databases (FASTA) to be used in mining raw Mass Spectrometry Proteomics data. The aim is to generate novel knowledge about the tumor biology, discover tumor antigens, and associate the findings with
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an interdisciplinary team from Newcastle University, led by Dr Huizhi Liang, with expertise in Artificial Intelligence, Generative AI, NLP, LLMs, multi-modal data processing, Machine Learning, Data Mining, and
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PhD and a minimum of 5 years experience in Forestry and/or Ecology and strong evidence of publication success Licensure A valid Class “C” driver’s license or higher operator’s license within 30 days
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) to mine, mostly comparatively, the metabolome and metallome of marine macro- and microorganisms by cutting edge LC-MS/MS-based chemoinformatics/computational untargeted metabolomics (MS/MS fragment
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of small molecule secondary metabolites of marine holobionts, particularly metallophoric compounds, such as siderophores. The main tasks of the holder of this post will be i) to mine, mostly comparatively