179 phd-in-wastewater-treatment Fellowship research jobs at Nanyang Technological University
Sort by
Refine Your Search
-
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
-
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
-
., 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
-
: 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
-
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
-
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
-
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
-
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
-
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
-
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