Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Science, please see here . Further information If you have questions regarding the position or want to learn more about the project and specific tasks prior to the application, please do not hesitate
-
learning for imaging tasks Prior work with histology–imaging registration or material decomposition Clinical research exposure As a person, you have good interpersonal skills, are inclusive and team-oriented
-
international candidates are not required to learn Danish. What we offer The department offers a dynamic, interdisciplinary research environment with many industrial, national and international collaborators
-
international candidates are not required to learn Danish. What we offer The department offers a dynamic, interdisciplinary research environment with many industrial, national and international collaborators
-
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
-
will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include Advancing equivariant neural network potentials
-
the challenges of the construction sector and society in relation to the green transition. AM2PM - Additive to Predictive Construction using Learning by Printing and Networked Robots This Postdoc will have an
-
key agroecosystem variables. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and
-
on Nanoparticles You will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include: Advancing equivariant neural network
-
QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise