Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics.” **Positions Available** We invite applications for Doctoral Researchers with a strong background in machine learning and an
-
processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
-
. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
-
of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
-
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
-
American Studies, North American Studies, Food Chemistry, Chemistry, Computer Science, Physics
-
protein structure analysis. Required skills: High motivation, curiosity, self-driven, critical thinking, strong team-player, good English, high interest in protein structure and machine learning. This PhD
-
: The application for the PhD program takes place exclusively via the online portal of the Dahlem Research School (open from 15.09.2025). Applications for the winter semester 2026/2027 are possible until November
-
international training environment. PhD students will work with leading scientists in the field and benefit from their complementary expertise in theory and experiments involving the various messengers
-
). Requirements Please consider applying if you: Have obtained or will soon obtain a master degree in computer science or a related subject Want to pursue academic research at the highest level and obtain a PhD