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assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned for 3 years
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access and digital inequality, cellular and satellite connectivity, web performance and accessibility, network measurement, mobile systems, and technologies for connecting underserved populations. We are
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programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely related fields
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, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with state agencies, and
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include physical activity and the gut microbiome. Research activities encompass primary data collection and secondary data analyses in large cohorts, including large-scale mobile data collection. The
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processing Have preferably experience using ML models and tools (e.g. radiomics) in image processing and very good skills in programming Fluent in English, (German is beneficial) then, this position might
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populations that are dynamic, scenario-conditioned and suitable for stress-testing mobility systems under disruptions. The work combines mobile phone data, census and urban data, activity-based and agent
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programming Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The
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, research institutions, and industrial companies Opportunity to actively participate in the development of quality and safety standards. Possibility of mobile working Attractive and modern working
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
collegial environment. Flexible working hours Work-life balance Mobile working An attractive and modern working environment with excellent infrastructure and state-of-the-art scientific equipment