Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
-
Measurements and Data Processing as per October 1, 2025, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg
-
combination of classical signal processing methods with state-of-the-art machine learning techniques, and you will thus find yourself in the intersection between emerging research domains and innovations, where
-
chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO₂ valorization in
-
levels. As a formal qualification, you must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those required to hold postdoc positions. You will be assessed against
-
microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five countries and four
-
specifically, the focus is loss of Indigenous knowledge and culture, and loss of subsistence livelihoods due to sea ice melt in Greenland. The position is a fixed-term position limited to a period of 2 years
-
on qualifications, a supplement may be negotiated. Non-Danish and Danish applicants may be eligible for tax reductions if they hold a PhD degree and have not lived in Denmark for the past 10 years. The position is
-
to building a world-class research hub focused on advancing microbial solutions for a sustainable future. DTU Bioengineering is excited to announce a postdoc position, as part of the newly launched global
-
Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like