186 wastewater-treatment-phd Fellowship research jobs at Nanyang Technological University
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of resource recovery methodology from wastewater sludge Job Requirements: Bachelor degree (for Research Assistant) or PhD degree (for Research Fellow) from a reputable university in chemical/environmental
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results for publications. Job Requirements: PhD in organic chemistry At least 5 years of experience in synthetic organic chemistry and/or asymmetric catalysis as PhD/post-doc in advanced institutions. Solid
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., antiviral treatment) on epidemiological dynamics. This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University. The Research Fellow
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: PhD in Pharmaceutical Science, or Chemical Biology. At least four years of experience in organic chemistry, materials science, or biomedical engineering related fields are required. At least three years
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Competencies: PhD in molecular biology, immunology or related disciplines Previous experience in one of the following areas: Human iPS/ES cells, CRISPR genome editing Animal models of disease Bacterial/viral
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to the research program. Job Requirements: A PhD in Computer Science or relevant fields. Strong background in deep learning and multi-modal learning. Strong publication record in top conferences/journals, such as
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electronic/robotic platform capable of continuous monitoring and on-demand for the treatment of inflammatory bowel disease and to conduct the investigation on development of ingestible robotic system to enable
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Requirements: A PhD degree in Neuroscience or other relevant major Prior experience with animal handling experiments, behavior tests, rodent brain surgery. A good command of writing and speaking in English is
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duties related to the research program. Job Requirements: A PhD in Computer Science, Quantum Computing, or relevant fields. Strong background in quantum computing and quantum machine learning. Strong
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to the research program. Job Requirements: A PhD in Computer Science or relevant fields. Strong background in deep learning and multi-modal learning. Strong publication record in top conferences/journals, such as