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hydrodynamic modelling and sediment transportation. Model Validation: Validation of DHI Mike Model with past historical data Data Analysis: Process and analyze coastal and ocean wave data to improve model
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, histology, immunohistochemistry, immunofluorescence, RNA sequencing, proteomics, metabolomics, and related data and statistical analysis; Prepare manuscripts for publication in peer-reviewed journals
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recognised and encompasses a broad range of Earth Science disciplines (geoscience, hydrogeology, geodata analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental
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. The successful candidate will work in close association with teams consisting of laboratory-based and clinical researchers to deliver the project. Experience with analysis of transcriptomic data is essential. Role
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analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental and applied research is strongly tied to terrestrial and marine environments and resources, and
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, with a track record of peer-reviewed publications. Strong quantitative and analytical skills, with experience in data analysis. Ability to work independently and in multidisciplinary teams, with strong
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge
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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong
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one or more of the following areas: business information systems, business analytics, database management, systems analysis and design, computer programming, web/mobile application development
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successfully in a biochemical laboratory High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute