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- Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
- Undertake these responsibilities in the project:
i. Generate and maintain a database of the proteins' key functional properties measured under different experimental conditions by the team
ii. Perform supervised and unsupervised learning from the database
iii. Analyze protein sequences and mass spectrometry data from our collaborators and link them to protein properties, using advanced NLP models
iv. Perform web scraping to generate additional data from open literature for comparison and analysis
v. Present research findings in meetings with industrial collaborators or conferences; prepare peer-reviewed publications on the findings.
vi. Engage and communicate with vendors/suppliers for purchasing equipment and visit vendors' facilities for both equipment evaluation and training purpose. - Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
- Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
- PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master's degree candidates with significant computational research experience may also be considered.
- Proficiency in performing machine learning on large, multimodal, and multivariate data sets. Previous experience with deep learning using neural networks / NLP / web scraping would be advantageous.
- Interest and enthusiasm for academic research to be applied in the food industry.
- Good interpersonal, communication and technical writing skills. Good problem-solving skills.
Research Associate - Singapur, Singapore - Singapore Institute of Technology
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Key Responsibilities
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