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of Materials Design and Innovation Posting Number R260134 Posting Link https://www.ubjobs.buffalo.edu/postings/64174 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
transportation challenges in collaboration with global industry partners. The full job description is available, here: https://www.dropbox.com/scl/fi/7g4rlzhx85n9a9dwdf7ec/CTL-Postdoctoral-Associate.pdf?rlkey
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AI can accelerate provenance research processes, including especially the use of Large Language Model based transcription of printed and handwritten documents, and subsequent extraction of knowledge
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 15 days ago
written and oral communication skills. Highly desired: - Experience with nanopores, nanopipettes, ionic-current measurements, resistive-pulse sensing, electrophysiology, or electrochemical sensing
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Website: https://sites.chemistry.unt.edu/~sqma/. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or
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and German. What we offer you: with a diverse work environment where you can have a real impact with an open corporate culture with an attractive salary with an intensive onboarding process with a
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, or academic projects • Experience in writing research code in collaborative settings using languages such as R and Python • Ability to work effectively as part of a multi-disciplinary research team • Strong
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Strong analytical and problem-solving skills with experience in data analysis. Excellent written and oral communication skills. Ability to work independently as well as collaboratively in a team setting