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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders At least one first-author publication in an internationally
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reviews Lead the analysis of large-scale population level data sets using statistical and data science techniques Provide statistical and mathematical modelling advice to junior researchers Lead the writing
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, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources. Apply artificial intelligence and large
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. Requirements PhD in Education, Psychology, Child Development, Statistics, or a related field. Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and
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bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies. Assist researchers in programming and data analysis. Perform analysis of complex and large-scale
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Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg . The EOS invites applications for an outstanding Research Fellow with a strong
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leading and managing health services research and evaluation projects • Experience conducting quantitative research, including design and collection of survey data, processing and analysis of large data
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology