Sort by
Refine Your Search
-
. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine
-
QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
planning in species such as dairy cattle, pigs, aquaculture and insects to be used for research and in projects in collaboration with the breeding industry. The candidate selected for this position will join
-
employees from across the world, researchers benefit from modern laboratory, core, and animal facilities. The department also emphasizes innovation, entrepreneurship, and collaboration with industry
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
-
Greenland in collaboration with the project PI and external partners, and liaison with external partners. Reporting of project results in peer-reviewed publications. You will carry out your work in close
-
collaborate with experts in machine learning, immunology and microbiology. You are expected to work independently and coordinate your research with the other team members. Undergraduate research projects will
-
of experimental setups Good skills in communication of research results & publication experience Ability to work in a team - collaboration and/or management skills Ability to work independently Who we are Aarhus
-
. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
-
motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
-
for next-generation nature monitoring. Collaborate closely with ongoing initiatives in remote sensing and with the National Topic Centre for Terrestrial Habitats and Species, contributing to the development