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We are looking for a motivated and independent PhD candidate to develop highly efficient and robust surrogate models of a multi-scale cardiovascular ‘digital twin’ modelling platform. A
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code, data pipelines experience with integrating with 3rd party APIs practical experience with Django, VueJS, AWS services, Ansible and/or Docker an interest in medical imaging and an understanding
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ontologies, APIs and open source software stack to standardize the digital twin for this application. Starting with already existing open source solutions is desirable. The postdoc will also be in charge of
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knowledge of web technologies knowledge of dev-ops practices, CI/CD, infrastructure as code, data pipelines experience with integrating with 3rd party APIs practical experience with Django, VueJS, AWS
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code, data pipelines experience with integrating with 3rd party APIs practical experience with Django, VueJS, AWS services, Ansible and/or Docker an interest in medical imaging and an understanding
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to develop the blueprint architecture of the digital twin for energy valleys. This includes ontologies, APIs and open source software stack to standardize the digital twin for this application. Starting with
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ontologies, APIs and open source software stack to standardize the digital twin for this application. Starting with already existing open source solutions is desirable. The postdoc will also be in charge of
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ambitious PhD candidates to perform excellent research and achieve breakthroughs in the field of digital twins for power systems. The strategic goal of TwinEU is to leverage a unique set of competences from
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Applications are invited for a postdoctoral position at the Anton Pannekoek Institute for Astronomy (API) at the University of Amsterdam Netherlands (UvA) to work with Assistant Professors Silvia