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systems and mobility prediction models. Our research creates a foundation for policy support related to a variety of challenges in the sector such as the green transition, mobility for all user groups
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and malignant cellular systems. The research strategy is expected to include the development of novel computational methods to analyze high-dimensional data, as well as the application of in vivo model
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responsible for platforms such as the widely used Global Wind Atlas, New European Wind Atlas, and web applications supporting research models like CorRES, WAsP, and Aquada. These tools are widely used by
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are to support the integration of computational workflows, data pipelines, and interactive dashboards, within research projects (including population surveys and randomized trials). Your main responsibilities
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modelling, advanced machine learning tools, etc. We welcome applicants with a strong academic background within engineering or applied science, whose expertise supports the development of resilient and
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-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis
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and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 140 PhD students and a technical/administrative support staff of about 160 persons
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handling non-model microorganisms such as Vibrio sp., Psuedomonas sp., Cupravidus sp. Python experience, especially as applied to programming laboratory robots You need have a MSc in a relevant field (e.g
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer We can offer an inspiring workplace in the Research Group for Foodborne
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experienced Policy and Program Manager to lead and support international development initiatives with a strong focus on global health, genomics and antimicrobial resistance (AMR). Our new colleague will manage