Sort by
Refine Your Search
-
the area of natural language processing using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models
-
the area of Korean Studies. Presenting and publishing zour own research. Teaching on Korea and basic methods at the BA level. Supporting our administrative tasks in research, teaching and administration
-
the area of natural language processing using deep learning methods. The focus of our research is in the area of natural language processing with deep learning methods, especially large language models
-
is part of your personality: Must-haves: Master's degree in Biology or a related field Initial experience in scientific writing and research methods IT skills (e.g. Linux, Python) Excellent English
-
: Doctoral degree/PhD Outstanding research achievements, excellent publication and funding record, international reputation Proven leadership qualities Gender and diversity competence Experience in designing
-
of influence: The research group Scientific Computing, led by Univ.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures
-
Judaic Studies or a related field by the application deadline. You have experience with interdisciplinary theories and methods in Judaic Studies. You have a strong interest in working with texts
-
track record of research expertise in the cognitive neuroscience of language and reading, including reading disorders (e.g., dyslexia) and their neurobiological bases. The ideal candidate holds a PhD
-
Master's/Diploma degree in the field of Byzantine Art History. • Initial experience in academic writing and research methods. • Excellent English skills (C1) / Knowledge of an additional foreign language
-
measures and in quality assurance. This is part of your personality: Completed doctoral/PhD studies in subject in the field of Early German Language and Literature A focus on literature from the turn