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thin films. We aim to demonstrate their integration in superconducting qubit readout systems and validate KI‑TWPA technology for scalable quantum computing applications. This position is funded through
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 29 days ago
wording published by Decree-Law No. 123/2019 of August 28; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (Regulation No. 950 / 2019 of 16 December https
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, Smart City, Matter, Brain, and related interdisciplinary areas. Research fields of particular interest include, but not limited to: • biomedical science and engineering • veterinary science
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. Experience with AI/ML algorithms and prediction model development. Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable
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that foster a supportive learning environment and work with hospital and health system leadership to address structural drivers of burnout and dissatisfaction. · Utilize innovative technology and
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of the future, including: the use of faster processors being pushed by CubeSat technology; new requirements for cybers ecurity driven by actual threats; ever-higher data streams and volumes downlinked from
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-fidelity finite-element model structural analyses. The motivation is driven by the desire of the Portuguese leading UAS manufacturer to greatly automate the meshing process, within its in-house UAV design
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of AI-enabled and enterprise digital tools across the university. This role blends business analysis, digital solutions engineering fundamentals, consulting, and enablement delivery to help staff adopt
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9 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » 3 D modelling Engineering » Mechanical engineering Engineering » Simulation
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value