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Field
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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations
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. +4521356098. E-mail: glsorensen@health.sdu.dk Applications must include: • At letter stating the interest, motivation and qualifications for the project (max. 2 pages) - upload under “Application form
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for Human-Centred, Explainable AI in decision support Where to apply E-mail julioignacio.piquero@upm.es Requirements Research FieldEngineering » Biomedical engineeringEducation LevelPhD or equivalent Skills
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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Code 5000801 E-Mail recrutamento@utad.pt Phone 259350000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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further information on the content of the work: doc. PharmDr. Petra Štěrbová, Ph.D. – Department of Pharmaceutical Chemistry and Drug Analysis Phone: +420 495 067 236 e-mail:kovarikova@faf.cuni.cz
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
Contact City Lisbon Website http://ist-id.pt/ Street Av. Rovisco Pais Postal Code 1049-001 Lisboa STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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) simulations will also be performed for the investigations. Furthermore, machine learning can be tested to accelerate MD simulations. In this project, you will be responsible for the following tasks in
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robotic research platform and an automated ‘Device Doctor’ for perovskite solar cells. The goal is to combine high-throughput experimentation, machine learning, and advanced modeling to accelerate device
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