Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
-
” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM
-
Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM)-related area using a variety of technologies, including eye-tracking; experience as
-
practices” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language
-
gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
-
of written and spoken English. You should have experience with programming (e.g. Python, Julia), simulation methods (e.g. molecular dynamics) and modern machine learning methods. Additional Information
-
such as large language models, machine translation, and automatic speech recognition and synthesis have on translators, as well as their impact on the profession, practice, training and society at large
-
light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we
-
: Machine Translation, Large Language Models, Automatic Speech Recognition, Automatic Speech Synthesis, Computer-Assisted Translation (CAT), Software Localisation, Terminology Extraction and Management
-
field botany and knowledge of plant identification Experience in statistical methods and programming (preferably R) Experience and interest in the work with large-scale ecological and environmental data