Sort by
Refine Your Search
-
of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
-
-containing systems. Who We Are Looking For: PhD Student / Research Assistant (m/f/d) The primary focus of this PhD position is to develop and apply in situ EPR spectroscopic techniques using a newly acquired X
-
oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic
-
environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information
-
Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
-
%). This position is to start at the earliest opportunity. The project will involved the development of new photochemical methods for the synthesis of bridged bicyclic compounds. You should have a Master degree in
-
committed to exploiting the full potential of this cutting-edge technology and are developing state-of-the-art laser plasma accelerators for a range of demanding research applications, from compact FEL
-
qualification program incorporating hybrid lectures, weekly seminars (hybrid and on-site), lab rotations and hands-on training annual summer/winter schools and complementary skills workshops TUD strives to employ
-
nitrogen fixation at the molecular level. Your Responsibilities: Perform EPR and related spectroscopic investigations of biological and synthetic nitrogenase systems Prepare synthetic iron-sulfur clusters
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms