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recognized organization at the forefront of Earth system science. The next President will guide a deeply mission‑driven community, steward critical national scientific assets, strengthen partnerships across
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27695, United States of America [map ] Subject Areas: Data-driven Modeling, Computational Biology Appl Deadline: 2025/10/02 04:59 AM (posted 2025/08/14 05:00 AM) Position Description: Apply Position
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18 Feb 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile Recognised Researcher (R2) Application Deadline 17 Mar 2026 - 12:00 (UTC
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Development of an AI-driven generative 3D modeling framework". The main
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Engineer to support and lead projects within the Assured Communications and Electromagnetic Dominance (ACED) technical thrust area. This position focuses on the design, simulation, prototyping, and testing
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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours 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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, you will generate and study human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes and engineered cardiac tissues (ECTs). You will develop patient-specific cardiac models to identify
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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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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1