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sequencing data analysis (shotgun metagenomic, and/or metatranscriptomic), microbial metabolomics, or microbial genetics. Experience designing and conducting experiments that probe the relationship between
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. Empirical work may be complemented with additional data collection and causal designs (e.g., online experiments), as well as relevant methods (e.g., big data, panel analysis, semantic analysis, simulation
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so, you use innovative hybrid AI techniques that combine symbolic AI methods such as Point Descriptor Precedence (PDP) with data-driven infrastructures such as transformers. You visualize analysis
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the direction of the Research Director and occasionally in collaboration with other staff and external partners, collect, clean, and review data, and conduct data analysis that may result in report production
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. Assist tutoring and mentoring students. Qualifications: (Required) 1. PhD in Mathematics with research interests in Analysis in Metric Spaces 2. Speaking/Listening Proficiency in English. Report to: Dr
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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or analysis tools · Proficiency in, or a strong interest in learning computational data analysis. Additional Qualifications Special Instructions Required documents: · CV · Research summary of PhD work · Cover
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of training, courses, and postgraduate studies. Eligibility criteria • metting formal requirements; • timeliness of notifications; • analysis of information contained in documents. Selection process The
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tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-computer-simulati… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research
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, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development