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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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initiatives in blockchain data collection and management. The position focuses on developing innovative solutions for large-scale blockchain data analytics and management systems. Key Responsibilities Lead
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data. Publish research results in high impact journals. Collaborate with other UM6P researchers/groups on multidisciplinary research projects related to the field. Development and implementation
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the EU project Shift2SDV, a large collaborative effort involving 81 partners across Europe. At DTU, the project offers a focused research scope with room for academic exploration. This position focuses
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also include: Prior knowledge about land-atmosphere interactions, atmospheric dynamics, climate modeling, and/or statistical analysis of climate data. Experience working with large climate datasets using
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series, research seminars, and workshops. Candidates will possess a PhD (or be close to completion) in any relevant area of Management. The successful candidate will have expertise in composing large
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experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is an AI and data science expert with a strong research portfolio spanning AI applications in computing
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, Computer Science, Statistics or a related field. Strong mathematical/scientific programming skills. Experience with bioinformatics algorithms and large-scale data analysis. Baylor College of Medicine is an Equal
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. Previous work experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records