Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
computational methods. We strive to advance core fields of communication science such as public sphere and public opinion research, journalism and political communication through the use of innovative
-
to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills
-
with programming (e.g. Python, Julia) and molecular simulation methods (e.g. molecular and quantum dynamics). What we offer: In the Maurer group, we aim to develop computational simulation methodology
-
should qualify him/her for a doctorate as part of the international PhD program in Management. The program provides knowledge that enables you to apply analytical methods to business management issues
-
by the teams are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior
-
and critical way of thinking and thus lay a solid foundation for future professional challenges. Your workplace: As a Senior Lecturer, you will be employed in the field of computer-aided and digital
-
scanning, geometric morphometrics, digital recording and analysis of behavioral observations, as well as the application of experimental, field-based and computer-assisted methods will be taught. In the area
-
The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
-
and determination? We are currently seeking a/an University assistant predoctoral at the RG Neuroinformatics (NI) 39 Faculty of Computer Science Job vacancy starting: 06/01/2025 | Working hours: 30.00
-
Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties