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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
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dimensionality reduction. Application of machine learning in drug discovery: target identification, drug repurposing, virtual screening, PK/PD modeling, and drug-drug interaction prediction. Data mining
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, Agricultural and Forestry Economics and Management， Human Geography, Business Administration, Applied Statistics, Tourism Management, Political Science, Public Administration, Library Information and Archive
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
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biomedical and clinical data. We are internationally recognized for our GDPR compliant data hosting solutions and data management systems. We develop innovative methodologies for data mining, federated data
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neural networks, protein structure modeling, and pattern mining. Analyze and validate results using computational and experimental data. Document findings and contribute to research publications
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, and Mining Engineering. With the support of the National Laboratory of Solid State Microstructures and the Frontier Science Center for Critical Earth Materials Cycling, SSER is striving to fulfill
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Intelligence, Brain-inspired Computing, Human-Computer Interaction, Flexible Wearable and Intelligent Integration System, Machine Learning, Data Mining, Big Data Platform, Cloud Computing, Distributed Computing