17 applied-mathematics Postdoctoral research jobs at Technical University of Denmark in Denmark
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, which includes mathematics, computer science, physics, chemistry and biology, provides the foundation for new and innovative technology for the future. Technology for people DTU develops technology for
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are particularly interested in candidates who can demonstrate experience within the following areas: Required (all): PhD in Wind Energy, Mechanical or Aerospace Engineering, or a related field. Knowledge of
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internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
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on establishing a foodborne disease surveillance system in Ethiopia, while also supporting other research activities in the group, such as applying genetic data to health impact assessments. Responsibilities and
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-sectional modelling Your overall focus will be to develop and apply advanced methods for inflow reconstruction and reduced-order modelling, with direct application to aeroelastic simulations and lidar
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academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial
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(e.g. air/ocean temp data). Use SAR/InSAR, Optical and or laser/radar altimetry to study subglacial hydrology. Creation of altimetry and/or Digital Elevation Models Publish the new findings in
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Job Description Nanomaterials and Nanobiosensors Group at DTU Healthcare Technology invites applications for a postdoctoral position to develop portable diagnostic devices and in vivo biosensors
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, petroleum engineering, and mathematics or a related field. We are specifically seeking candidates who have, or are willing quickly to acquire the following skills: Phase equilibrium calculation algorithms
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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human