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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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proteomics). Knowledge of DNA extraction and quantification. Working knowledge of statistical analysis using R. Experience in deep-sea microbiology will be beneficial. Experience with environmental sampling
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methodologies, data analysis, and statistical techniques. Ability to work both independently and collaboratively within a team Effective written and verbal communication skills, with the ability to convey
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. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields Proven research experience with a track record of publications in top-tier journals in the field Relevant insurance
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analyze ecological questions Good interpersonal and organizational skills Competent in ecological statistics and R (multivariate analyses, structural equation modelling, generalized linear mixed effects
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industry reports Present research findings to GAIP sponsors and the academic community Job Requirements: Ph.D. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields Proven research
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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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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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foundation, e.g., optimization theory, statistics, information theory Good software development skills To apply, please prepare a cover letter detailing your interest and qualifications for the position