418 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
collaboration with our team. You will: Develop ML methods to handle conditional data generation mechanism in the development pipeline, and for optimization and simulation Develop ML methods for uncertainty
-
create novel methods and technologies as a foundation for development of new environmentally friendly products, better and less energy consuming manufacturing processes, development of sustainable novel
-
, enthusiasm for technology and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development. The group
-
to engage in independent research and is encouraged to establish a research group based on external funding. Moreover, teaching classes (both existing or development of new) in our educational programs
-
this knowledge to suggest new ways to optimise catalytic reactions. Overall, you will contribute to the development of AI-enhanced autonomous workflows for interface. These implementations will be general and will
-
ammonia quantification. Some specific tasks during the projects are: Benchmark the applicant/setup on Li-mediated ammonia synthesis in inert atmosphere Aluminium-mediated ammonia synthesis development
-
inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to solving real-world challenges. No two days are alike, and we
-
disciplines. A flexible working environment that supports work-life balance and individual needs. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and
-
inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to solving real-world challenges. No two days are alike, and we
-
management of Science Bridge’s budget and resources, as well as for monitoring, learning, and reporting on activities and outcomes. Contribute to the overall development of the Faculty of Natural Sciences and