Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg University
- Aalborg Universitet
- Copenhagen Business School
- Copenhagen Business School , CBS
- Technical University Of Denmark
- ;
- Queen's University Belfast
- Roskilde University
- 3 more »
- « less
-
Field
-
. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
-
interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
-
with the best universities around the world. Job Info Job Identification 5717 Job Category VIP B Posting Date 08/18/2025, 09:07 AM Apply Before 09/10/2025, 05:59 PM Locations Ørsteds Plads, Kgs. Lyngby
-
candidate will have a strong background in physics, geophysics, materials science, computation, engineering, or a related discipline. Documented research experience in one or more of the following areas will
-
computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
-
submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities
-
. The carbon capture pilot is envisioned to include pre-treatment and post-treatment steps, enabling flexibility and optimization of the carbon capture process for its practical application. The position is
-
Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
-
Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
-
to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard