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Leadership and co-supervision Requirements: Completed a PhD in a quantitative discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred
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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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of doctoral/postgraduate research students. Job Requirements • Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines. • Has good understanding
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contacted. Job Requirements • Possess a PhD degree in Civil Engineering or Materials Engineering with demonstrated experience in designing and conducting experiments, performing statistical data analysis
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contribution to research in sphere 3 on regulation and policy considerations for building trust and digital resilience. Qualifications Applicants must have a relevant PhD before starting the position. The ideal
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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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include: Lead the research projects Train juniors (PhD or undergraduate students) Assist and help with lab management Qualifications Qualifications / Discipline: PhD in Chemistry or Chemical Biology Skills
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include: Lead the research projects Train juniors (PhD or undergraduate students) Assist and help with lab management Qualifications Qualifications / Discipline: PhD in Chemistry or Chemical Biology Skills