Sort by
Refine Your Search
-
using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools
-
: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
-
machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
-
and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
-
of potentially novel modes of protein binding is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in
-
the Laboratory for Nano and Quantum Engineering (LNQE) and the two clusters of excellence QuantumFrontiers and PhoenixD. The participating institutes are equipped to the highest standards, with the LNQE research
-
multidisciplinary educational background, and possess a Master's degree in physics, physical chemistry, chemical engineering, materials science, nanoscience, mechanical engineering, or a closely related discipline.
-
of science, technology, and medicine. We welcome proposals with focus on regions around the globe and on any historical time period which can relate to and enrich the School’s research agenda. Please find all