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Field
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: The selected candidate will: Design, fabricate, and characterize advanced MEMS/NEMS test structures and integrated devices using Cornell NanoScale Facility processes, working closely with collaborators across
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on the biochemical and structural characterization of voltage-gated ion channels and its regulation by nanoantibodies in disease signaling pathways. The lab is located within the University of Colorado School
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point 5; c) Any other documents that the applicant considers relevant, namely for the assessment of the information referred to under no. 2 of Article 5 of the RJEC. 2.2 — The curriculum vitae should
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photocatalysts and reagents that react with red or NIR light. Low-energy photocuring inherently provides latency, a critical point for paint storage stability. Both solvent-borne (University of Amsterdam) and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
, creativity, and ability to work collaboratively in a multidisciplinary team environment • Effective written and oral communication skills Point of Contact Mikeala Eligibility Requirements Citizenship: LPR
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, the ability to work collaboratively and manage tasks autonomously, and excellent analytical, written and oral communication skills in English. The candidate is expected to contribute in the following ways
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: The selected candidate will: Design, fabricate, and characterize advanced MEMS/NEMS test structures and integrated devices using Cornell NanoScale Facility processes, working closely with collaborators across
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), with a start date from the 01st January 2027. You should hold a PhD in Computer Science, with expertise in Natural Language Processing, and have a demonstrated track record of research
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latency, a critical point for paint storage stability. Both solvent-borne (University of Amsterdam) and waterborne (Leiden University, this vacature) coatings will be studied in this project, including
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly