Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Susquehanna International Group
- ;
- University of Utah
- DAAD
- ICN2
- Kaiyuan International Mathematical Sciences Institute
- Nature Careers
- University of Newcastle
- University of Tübingen
- ; University of Cambridge
- AALTO UNIVERSITY
- CNRS
- Imperial College London
- Institute of Science and Technology Austria (ISTA)
- Leibniz Centre for Agricultural Landscape Research (ZALF)
- Lulea University of Technology
- MASARYK UNIVERSITY
- Max Planck Institute for Demographic Research (MPIDR)
- Universidade de Coimbra
- University of Cambridge
- University of Oslo
- University of Sheffield
- University of Texas at Austin
- Universität Düsseldorf
- 14 more »
- « less
-
Field
-
, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
-
computer science, business informatics, mathematics or similar with interest in scientific work as part of a doctorate. Independent, structured way of working, quick comprehension and the ability to familiarize
-
DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
-
strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
-
The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of the appointment. Type Benefited Staff Special
-
involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
-
Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof