-
these degradation pathways. Join our team! Decoding Light-Induced Degradation through Molecular Networking and Data Science Many organic compounds change under the influence of (UV) light. This is beneficial in water
-
candidate in their doctoral research; Develop a network of academic and non-academic partners for the purpose of developing grant proposals; Support and/or coordinate grant proposals in collaboration with
-
) are facing a critical methodological juncture. While commercial AI tools like ChatGPT offer powerful capabilities for text analysis and coding, they act as black boxes that obscure how data is processed, pose
-
. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
-
; Demonstrated interest or experience in sustainability transitions, circular economy, waste management, or environmental governance; Good networking and communication skills and ability to work independently and
-
, computational humanities, data science, AI, or a closely related quantitative field. Must-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in
-
Ultracold Atom Quantum Sensing Testbed , which will allow you to contribute to many interesting projects related to clocks, such as creating a European optical time and frequency distribution network
-
project-related administrative tasks; Actively contributing to the research activities of AHM and developing national and international research networks and other forms of cooperation. This is what we ask