Sort by
Refine Your Search
-
to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer
-
current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical
-
coordination (3 parallel PhD positions), organization of meetings, communication between project partners and stakeholders, and to the analysis and writing of the shared output. For the Postdoc position, we
-
The Postdoc is expected to contribute to the organization of the project in terms of field-work coordination (3 parallel PhD positions), organization of meetings, communication between project partners and
-
/ ). Qualifications The Postdoc is expected to contribute to the organization of the project in terms of field-work coordination (3 parallel PhD positions), organization of meetings, communication between project
-
. The program is a collaboration of five universities and combines insights from Sociology, Social Psychology, Philosophy, and Social and Economic History. Currently, almost 80 PhD and postdoc projects (https
-
of five universities and combines insights from Sociology, Social Psychology, Philosophy, and Social and Economic History. Currently, almost 80 PhD and postdoc projects (https://www.scoop-program.org
-
postdoc (up to 4 years) and a PhD student. The main focus of this position will be at the interplay between theoretical 21cm cosmology and machine learning. While the postdoc will be stationed at the RUG
-
. Within this team, the postdoctoral researcher will support a PhD student responsible for synthesis and photochemical evaluation of the designed molecules. Organization The vacancy is within the newly
-
. Qualifications PhD prior to appointment strong research profile and publication record appropriate to career stage excellent command of English proven ability to integrate insights from other disciplines (e.g