Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
secondary concerns. From a marketing standpoint, these issues are especially important because trust, transparency, perceived intrusiveness, and perceived control strongly influence whether users accept
-
controlling electrochemical interfaces across scales. Computational PhD position: You will develop an AI-enhanced multiscale modelling framework combining density functional theory, ab initio molecular dynamics
-
Doctoral Network funded by the Marie Sklodowska-Curie Actions (MSCA), dedicated to advancing innovative solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project
-
are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
-
critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. At DTU Physics, we perform
-
Do you bring together domain specific knowledge from the social sciences with a genuine, hands-on command of AI and/or digital methods? Would you like to advance research that integrates state
-
workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
-
through a system, and using them to make AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something
-
Doctoral Network funded by the Marie Sklodowska-Curie Actions (MSCA), dedicated to advancing innovative solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project
-
AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something goes wrong or is deliberately