Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on
-
more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world
-
on the candidate’s profile and interests, the position may also involve primary data collection, including extraction of medical chart data using natural language models and surveys of stakeholders within child and
-
total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real time under device relevant conditions. Target facilities include DESY, MAX IV, European
-
metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related
-
of the project. The successful applicant will become part of an exciting and ambitious research project and a supportive research team with a collegial and respectful atmosphere. There will be excellent
-
department under the Faculty of Science & Technology at Aarhus University. Our work spans fields from physics, chemistry, microbiology, molecular biol-ogy, and mathematical modeling to social science
-
more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world
-
time under device relevant conditions. Target facilities include DESY, MAX IV, European XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund
-
sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs). CNAP is a dynamic and international research environment: approximately 60% of our staff is international, with a