Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
-
systems using various tools and models, including: i) characterization of the emerging patterns in physical systems (solid state materials and active systems); ii) investigation of the mechanical properties
-
Project Background: Why some people with multiple sclerosis (MS) experience faster changes in brain structures (neurodegeneration) than others? What genetic associations with brain regional
-
Andy Smith, Head of Secondary and Further Education, and Director of the Centre for Mental Health, Sport and Physical Activity Research in collaboration with colleagues from Public Health, Wigan Council
-
Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
-
, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate products and processes that enhance human potential, well-being and
-
, leveraging existing literature and data from controlled experiments. The model will consider multiple photosynthesis parameters to predict microalgae growth. It will offer specific design criteria and
-
privacy. While there currently exists multiple protocols for metadata privacy, from protocols with strong privacy guarantees but large overhead (e.g., DC-nets), to more practical protocols like onion
-
Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 14 hours ago
of the Leibniz Institute of Ecological Urban and Regional Development (IOER) and the Technische Universität Dresden (TUD). It hosts doctoral students selected in a competitive process. DLGS offers
-
the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry