32 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Fellowship positions at Singapore Institute of Technology
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team to develop/produce/investigate extraction and fractionation of mung bean/rice/spent barley for improved functionality, generate process data for future life-cycle assessment and techno-economic
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year for every year of sponsorship. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by
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engineering strategies to enhance production yields of target chemicals. Conduct lab-scale fermentation, analytics, and process optimization. Publish research findings in high-impact journals and present
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outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in
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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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liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Have relevant competence in the areas of Deep
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to ensure all project deliverables are met. • Design a Natural Language Processing algorithm for identifying Personal Identity Information data. • Design and evaluate privacy preserved Generative AI-based
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deliverables are met. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Minimum of 1 year experience in molecular biology, with hands
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model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and
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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal