59 phd-in-image-processing Postdoctoral positions at Technical University of Denmark in Denmark
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synergy with another postdoc working on the same project, whose focus is on the development, demonstration and application of the functionalized quartz resonators integrated into a sensor prototype. If
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and to users Validating predictive models in close collaboration with clinical partners, and interfacing image-based models with other modalities Writing and presenting scientific work at top
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of dynamic operation, which is essential for effective system-level integration. The technology should have a high and stable electrochemical performance. Furthermore, mechanical robustness is a challenge
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for carbon cycling, ecosystem functioning, fisheries, and services such as CO₂ sequestration. Despite their importance, many of these processes remain poorly understood due to Greenland’s remoteness and
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biobased processes to promote a green transition and support the UN Sustainable Development goals. Responsibilities and qualifications You will work with a team of scientists including PhD and MSc students
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process, and subsequently implement this infrastructure on top of an existing cloud infrastructure. You will play a key role in the project's development, ensuring technical tasks and teams work together to
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written Danish is a benefit but not a requirement. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized
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development Structure–function analysis of enzymes Project coordination and team collaboration Scientific writing and publication As a formal qualification, you must hold a PhD degree (or equivalent). We offer
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we