Sort by
Refine Your Search
-
Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific
-
teaching, and to reporting research results in high-impact scientific journals. Job description The postdoctoral researcher will: Develop and conduct research on farm-scale material flows across
-
operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
-
with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
-
qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
-
internationally within your field of research. Dissemination of your research to the outside world through scientific publications. Your profile Applicants should hold a PhD in chemistry/physics/materials science
-
an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a
-
SMARTFIELD project. We are looking for a candidate with extensive knowledge in social science, environmental management, agroecology, or a related field, who is committed to research in the science-policy
-
University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we
-
you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in ecology, environmental science, remote sensing, data