-
are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline Demonstrated expertise in machine learning and computer vision
-
of circularly polarized / chiral phonons in quantum paraelectric materials. Job description The postdoctoral researcher will develop machine-learned force fields trained on density functional theory (DFT) outputs
-
for the position are expected to have a PhD in Chemistry, Material Science or Chemical Engineering. Experience in the fields of material synthesis as well as the physical and electrochemical characterization
-
types. Profile A PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations, including writing computer code, is essential. Familiarity with
-
resources, and contribute to high-impact research that bridges academia and industry. If you have a strong background in AI, machine learning, and a keen interest in real-world applications, we encourage you
-
Kerr microscopy, transport, SQUID-VSM) as well as synchrotron x-ray techniques at international facilities. Profile You have outstanding qualifications with a PhD in physics, electrical engineering
-
(oral and written) and be willing to work and take over responsibility in a highly interactive international environment with other Postdocs and PhD students. Moreover, the candidate will also be involved