90 evolution-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
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
-
, the projects combine classical microbiology, microbial physiology, experimental evolution, and omics-based approaches to link microbial interactions and system performance across spatial and functional scales
-
Job Description As part of our Novo Nordisk Foundation Challenge Grant Energy Materials for the GUT (EMGUT), we are seeking a highly motivated PhD student to advance the development and testing
-
electro-thermo-mechanical finite element (FE) simulation of resistance spot welding, including comparison to physical welds. Development of a CFD model for simulation of melt pool dynamics and coupling it
-
technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value
-
, 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
-
bioavailability of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development
-
of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems
-
-based imaging technique Dark-Field X-ray Microscopy. Installed at the European Synchrotron Radiation Facility in France we utilize it to visualize the evolution of internal structures in metals during
-
optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods