12 assistant-professor-computer-science-and-data-"Meta" PhD positions at University of Tübingen in Germany
Sort by
Refine Your Search
-
Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate
-
strain engineering is a plus. Data analysis skills (e.g. in Python, MATLAB or similar) are a plus. Excellent communication skills in English, both written and spoken Strong motivation to work
-
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
-
Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate
-
Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate
-
Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate
-
field (Biology, Psychology, Evolutionary Anthropology, Linguistics, Cognitive Science, or similar), and experience with collecting and analyzing behavioral data, as documented through course work or
-
of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
-
of three years. Your qualifications University degree (Diplom or Master) in Biology or related natural sciences. Eligible to obtain a doctorate degree from the University of Tübingen. Great interest
-
equivalent) in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a strong familiarity with contemporary research on prosody and its