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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . Assistant Professor Yanyan Cheng’s research group is seeking a Research
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, uptake, bioaccumulation and spatial distribution of contaminants in matrices such as water, soil, crops, aquatic biota and biological tissues. The expected outcome is a set of more sustainable, sensitive
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systems, and spatial aggregation or interpolation across mismatched administrative and ecological units. An interest or experience in using machine learning or AI tools with environmental or socioeconomic
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Disease Prevention and Health Promotion in the Division of Nutrition, Physical Activity, and Obesity (DNPAO), you will engage in a training experience involving Active People, Healthy Nation (https
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skills, that advocate for safety and ethics in the workplace. For more detailed information on research in the lab, please look at our lab publications: https://www.ncbi.nlm.nih.gov/myncbi/1ZuZJziC0nrUgr
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the mentorship of the Principal Investigator (PI). Perform experiments to understand molecular mechanisms of liver disease development. Experiments will involve mouse surgeries, flow cytometry, spatial
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engineering, information systems, geography, spatial planning, remote sensing and GIS, data science and advanced analytics, statistics and information management, as well as geographic information science and
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offshore wind development and/or marine sectors such as fisheries and aquaculture Experience with ecosystem services, integrated assessment approaches, or marine spatial planning Familiarity with policy
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robotic AI systems and automated sorting or ranking methodologies are inspectable and risk-aware. Implementing advanced filtering techniques and symbolic spatial relation models to optimize tracking
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research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches for spatial population