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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 14 hours ago
discipline by the appointment start. Proficiency in both quantitative and qualitative data collection and research methods. Experience using quantitative (e.g., R, SPSS, or Stata) and qualitative analytic
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developing materials relevant to the research project under appropriate supervision. As the successful candidate, you will demonstrate strong analytical capabilities and a proven track record in producing high
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language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI research, including multi-modal LLMs. Background in AI
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The Department of Chemistry consists of a well-rounded, interdisciplinary research community with cutting-edge expertise in a wide variety of modern disciplines including materials chemistry, analytical chemistry
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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contributions, and engagement with the Monash University Korean Studies Research Hub’s activities and postgraduate student support. As the successful candidate, you will bring strong analytical abilities and
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that combine the engineering and analytical principles of multiple scientific disciplines. We are seeking a talented postdoctoral fellow to join our team and advance our mission by contributing to the discovery
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Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by
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ageing processes, high voltage electrical testing, analytical and simulation techniques. Please provide your CV to support your application for this post. You will report to the sponsor at regular meetings
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and managing scalable ETL (Extract, Transform, Load) pipelines to integrate multi-source, multimodal datasets Applying big-data analytic, including spatio-temporal modeling and deep learning techniques