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. 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
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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
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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
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, etc. Overseeing the NIE Graduate Student Club. Managing statistical computation and projections. Supporting the GE Associate Deans in Special Projects. Covering for the PhD examination processes
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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
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at the undergraduate and postgraduate level Job Requirements: PhD degree in a Computational or Statistics field Strong track record of research publication, commensurate to career stage Evidence of
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, 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
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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
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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
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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