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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is a collaboration between Queen Mary University of London and Kyushu University, Japan, under the supervision of Dr. Amin Paykani.Key ResponsibilitiesDevelop and apply...
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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is a collaboration between Queen Mary University of London and Kyushu University, Japan, under the supervision of Dr. Amin Paykani, to realize the objectives of the...
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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London, as part of the Royal Society...
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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr. Amin Paykani at Queen Mary University of London, as part of the Royal Society...
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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is a collaboration between Queen Mary University of London and Kyushu University, Japan, under the supervision of Dr. Amin Paykani, to realize the objectives of the...
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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleThe project aims to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using a hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan, under the supervision of Dr Amin Paykani at Queen Mary University of London to realise the objectives of the Royal...
Data Engineer
3 months ago
Job Title:
Data Engineer
Location: 100% Remote from anywhere in Europe
Type:
Contract
Duration: 6 Months
Rate: 30EUR/hour
Responsibilities:
Design, implement, test, deploy, and maintain highly scalable data management systems and solutions, ensuring proper compliance
Design and build stable, reliable and effective data processing pipelines across the Data Lake and Data Warehouse in Snowflake
Collaborate with Enterprise Data Architect and Business Analysts to integrate with external systems and automate data collection processes
Job Requirements:
Extensive experience with SQL for complex data manipulation, transformation, and analysis;
Experience with Snowflake;
Experience with data modelling, ELT development, and data warehousing techniques;
Proficient in Python for scripting and custom data ingestion;
Data integration, data quality, data preparation and application integration with Talend.
If you're interested, please reach out to # for more information.
