-
https://www.science.org/doi/10.1126/sciadv.adr1758 Highly motivated students from Physics, Chemistry or Materials Science Departments are strongly encouraged to apply for this post. The candidate should
-
, the student will have the opportunity to: investigate the key scientific and engineering challenges involved in designing sorbents for electrochemical CO2 separation, including the analysis of existing
-
learning. Prior experiences with numerical optimisation, machine learning, and chemical process design are highly beneficial. The ideal candidate pursues new insights, actively engages in scientific
Searches related to scientific visualization
Enter an email to receive alerts for scientific-visualization positions