Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
scientific journals and presenting at conferences You will receive support from both academic supervisors and industrial partners throughout the project. Approximately 20% of your time will be allocated
-
buildings, within a cross-disciplinary environment spanning architectural design, digital technologies and biomaterials science. PhD project summary The PhD student will join our cross-disciplinary research
-
computational drug metabolism project in collaboration with AstraZeneca and Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers
-
based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
-
project activities while developing your own scientific concepts and perspectives on hydrological modelling, climate adaptation, road engineering, and urban planning. Communicating research findings through
-
of quantum chemical calculations (DFT) is advantageous. An interest in machine learning and AI-based methods, as well as programming skills in languages such as Python or MATLAB/Simulink, is beneficial
-
) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
-
and experiences. We regard gender equality and diversity as a strength and an asset. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-yr initiative funded with
-
, teaching and dissemination of scientific findings with direct application to the sustainable management of forests. We have a multidisciplinary profile, with global relevance and specialized expertise
-
. General Description of the DDLS Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular