15 phd-statistics Fellowship positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
. Experiences in AI and data analysis are essential. Entry Level candidates are welcome if their PhD theses are in the field. Strong background in machine learning, statistics, and computational modeling
-
following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
-
advise on metagenomic sample processing. Lead and advise on bioinformatic analyses. Conduct analysis of the microbiome colonizing carbon steel coupons. Job Requirements: PhD in molecular ecology
-
the field of fluid mechanics of sustainable manufacturing / energy independently. Job Requirement PhD in Engineering with a strong research focus on Fluid Mechancis Strong understanding of research
-
, and ensure the safe conduct of student research projects Job Requirements: PhD in Ecology, or equivalent field is mandatory Strong publication records and the ability to independently and critically
-
for implicit motives Coordination and training of undergraduate research assistants Statistical analyses Preparation of reports and manuscripts related to the project Planning and execution of independent
-
Responsibilities: Carry out research works on climate-change impact assessment, data assimilation, climate downscaling, bias correction, GIS analysis, statistical analysis etc. Coordinate project report preparation
-
PhD degree in Computer Science, Electrical and Electronic Engineering, or their equivalent Good publication record in areas like networking, machine learning and generative AI Strong mathematical
-
conducting literature searches and manuscript preparation. Develop and implement a five-wave survey with the public. Conduct statistical analyses with survey data. Contribute to research publications and
-
conducting literature searches and manuscript preparation. Track online public discourses using sentiment analysis. Conduct statistical analyses using sentiment analysis. Contribute to research publications