Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, physics, computer science, applied mathematics, or similar Required competences Strong background in image processing and analysis, especially Deformable image registration and 3D segmentation methods
-
candidates with a degree in physics, chemistry or materials science. For Topic 1-3, candidates must have documented skills in atomic-resolution electron microscopy, microfabricated devices, 2D materials
-
the stated framework of the Ultra:bit project (maximum three pages). Please note that although the application process can be completed on the Aarhus University system without uploading publications
-
also enjoy working in a team, be open, honest and conduct research responsibly. The ideal candidate should have: a strong background in chemical engineering thermodynamics, physical chemistry, water
-
Postdoc positions for N2 and/or CO2 Conversion by Hydrogenation into useful Chemicals using Thermal Heterogeneous Catalysis - DTU Physics We have a successful record of activating molecular N2
-
present at the interdisciplinary nanoscience center at Aarhus University, where the lab is physically located. Your profile We are looking for a highly creative, collaborative and experimentally skilled
-
, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
-
, you are welcome to contact Professor Amjad Anvari-Moghaddam, aam@energy.aau.dk, phone +45 93 56 20 62. Further information Read more about our recruitment process here The appointment process at Aalborg
-
decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
-
. Applications received after the deadline and/or incomplete applications will not be considered. Assessment Shortlisting will be used as part of the initial selection process. Assessment of shortlisted