Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
(e.g., Kalman Filter) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness
-
computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
-
chromatograph, FIA and electronic particle counters i.e., Coulter counters also available. As a PhD fellow, you will be associated with the research groups and get access to instrumentation of your main and co
-
mathematics, nanoscience and the hospital. In addition to NMR-based techniques and mass spectroscopy, you will use a suite of colloidal and nanoscience techniques to characterize the particles. Who we
-
mathematics, nanoscience and the hospital. In addition to NMR-based techniques and mass spectroscopy, you will use a suite of colloidal and nanoscience techniques to characterize the particles. Who we
-
an integrative approach involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant TZ complexes
-
measured data, apply necessary filtering and selection of data features to be stored. Couple the numerical model and the measured input data to establish a model that can predict the outcome in terms
-
employing an integrative approach involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant