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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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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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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 | 27 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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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Filled No Position Type Permanent Staff (EHRA NF) Working Title Research Software and AI Engineer Appointment Type EHRA Non-Faculty Position Number 20075049 Vacancy ID NF0009612 Full Time/Part Time Full
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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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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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data, and engineering models to determine why failures occur in complex machines such as heat pumps and chillers. You also support the STFES (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be
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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