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Postdoc – Performance requirements for biobased construction materials used in the building envelope
The Department of the Built Environment (BUILD) at The Technical Faculty of Engineering and Science invites applications for a position as PostDoc in the field of material science, modelling and
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, Computer Science, Engineering, or a related field The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates
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Job Description A postdoctoral position is available in the Section of Experimental and Translational Immunology (xTI), Department of Health Technology (DTU Health Tech), at the Technical University
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collaboration with a team of engineers Collaboration on publicly funded projects Publication of research papers and patents Travel to international conferences, participation in the academic community Advising
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pilots and pre-series devices. We are looking for a postdoctoral researcher to drive the core R&D work that takes the technology from a validated baseline to a calibrated pre-series suitable for field
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys
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, and robustness. Collaborate with interdisciplinary teams, including engineers, and data scientists, to integrate sensor technologies into comprehensive industrial systems. Maintain detailed records
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directions, participate in securing funding, andco-create the long-term vision of the centre. KEY RESPONSIBILITIES Technology & Platform Development 1. Design and optimise scalable technology platforms and
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At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers
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the field of glioma. The current project is interrogating the role of ATRX in immunotherapy response using murine and cell line models, including genetically engineered lung cancer model. Cell line model