Sort by
Refine Your Search
-
Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
-
Your Job: The PhD position is offered in the context of the HDS-LEE graduate school. We are looking for a highly motivated PhD candidate to join our world-leading research program in Earth System
-
Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
-
Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
-
Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
-
is far beyond in-situ observational networks. However, the accuracy of satellite retrievals depends on several assumptions leading to biased observations. The aim of the PhD-project is to overcome
-
Areas of study International Relations, Political Science, Gender Studies, Social Economics, East Asian Studies, Japanese Studies, Korean Studies, Chinese Studies, Asian Studies, International Law, Public Law, Economic Sciences, Economics, Business Administration, Cultural Studies, Early Modern...
-
on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g
-
Description The Integrative Research Institute Law & Society (LSI), in cooperation with the DFG Graduate School DynamInt (DynamInt), is currently accepting applications for two doctoral scholarships at Humboldt-Universität zu Berlin funded by the German Academic Exchange Service (DAAD, Graduate...
-
Your Job: This PhD project aims at relating precisely timed spike constellations across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates