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science, data analysis, socio-economically-driven decision-making, and collaborative research, highly sought-after skills. Number Of Awards: One Start Date: Autumn 2025 Award Duration: 4 years Application
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• Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets
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• Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental research designs, survey design, large/longitudinal datasets
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such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2025. The position is for three years. The positions are advertised as part of the Research Training Group 2491 "Fourier Analysis and
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of techniques for the analysis of topological data. Targeted activities in the field of public relations are also planned. The activities will mainly be based at the Institute of Scientific Computing
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developments in the field of chironomid palaeoecology include the development of high-resolution analyses to reconstruct decadal-scale ecosystem dynamics of lake ecosystems, the interpretation of influx data
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the demographic profiles and contact networks of the individual simulation model will be drawn from Virtual WA: a geospatial analysis platform built in-house by A/Prof Cameron and Camilo Vargas at The Kids. Student
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Assoc Prof Liton Kamruzzaman, Prof Hai Vu, Prof Graham Currie, Prof Eric Miller (University of Toronto), and Prof Roger Vickerman (University of Kent). Together, the team aims to: Define sustainable size