Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
the atomic to the industrial scale – to drive innovations that enable a sustainable energy transition. We are now inviting applications for a three-year PhD position in electrochemistry, focused
-
. The opportunity to pursue a doctorate (PhD) in cooperation with national and international research partners and industry. Flexible working hours and the option of remote work. A Lounge Lab, table soccer, and
-
Description For our location in Hamburg we are seeking: PhD Position: Method Development for Hierarchical X-Ray Imaging at Synchrotron Facilities Limited: 2 years | Starting date: earliest possible
-
Description The Institute for X-ray Physics of the University of Göttingen welcomes applications for a PhD Position (f, m, d) starting as soon as possible. The salary is based on TV-L E13 (75
-
Description The International Max Planck Research School for Quantitative Behavior, Ecology and Evolution from lab to field (IMPRS-QBEE) is looking for two motiviated PhD students to start latest in
-
applications in information technology and are based on electrical, magnetic or optical functionalities. The Department of Quantum Technologies is looking for a PhD Student (f/m/d) - Imaging magnetic structures
-
processes that produce energy and raw materials. The Department of Structural Materials is looking for a PhD Student (f/m/d) in Ion Irradiation and Materials Characterization of Novel Refractory High-Entropy
-
Description DAAD Graduate School Scholarship Program (GSSP) in Experimental Geosciences The Doctoral Program of Experimental Geosciences at the University of Bayreuth has been awarded a prestigious DAADGraduate School Scholarship Program (GSSP) . This program offers up to four doctoral...
-
Description Two PhD opportunities in computational biophysics/chemistry (Bremen, Germany) The group of Professor Ulrich Kleinekathöfer at Constructor University, Bremen, Germany, is offering one PhD
-
Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process