435 postdoctoral-image-processing-in-computer-science-"Multiple" Fellowship positions in Singapore
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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Conversion of Biomass” is looking for a Postdoctoral Researcher in Chemical Engineering to optimize biomass extraction and for upscaling and improving flow processes. Key Responsibilities: Construction of a
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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The School of Mechanical and Aerospace Engineering (MAE) is ranked 5th in the world (QS Subject ranking 2021) and boasts well-established industry partnerships with prominent companies such as Rolls
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good communication and technical skills. Experience in either one of the following fields: cell biology, mice or invertebrate genetics, imaging and/ or biochemistry (e.g., protein purification, in vitro
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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researchers, industry partners, and regulatory stakeholders to ensure robust sustainability metrics are embedded in process design. Job Requirements: PhD in Environmental Engineering, Chemical Engineering
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Pharmacy and Pharmaceutical Sciences) Posting Start Date: 27/06/2025 Job Description: Job Description mRNA therapeutics (such as
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems