Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Technical University of Munich
- University of Tübingen
- Leibniz
- Nature Careers
- ;
- CISPA (at University of Stuttgart)
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Heidelberg University
- Max Planck Institute for Plant Breeding Research, Köln
- Universität Düsseldorf
- 3 more »
- « less
-
Field
-
Looking for PhD StudentsWe are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
-
corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
-
) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
-
Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
-
of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
-
of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
-
of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
-
, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
, neuroscience, biomedical sciences, or a related field A keen interest in neurophysiology, epidemiology, and the neuroscience of neurological and psychiatric conditions Solid experience in experimental research