Sort by
Refine Your Search
-
Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV) / Sorbonne Université in Paris (France), two of Europe’s largest institutions in the field of...
-
are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
-
a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
-
presentation and publication of the results Requirements: university degree (Master's or equivalent) in geodesy or a related subject (geophysics, geoinformatics, physics, mathematics) excellent analytical skills
-
supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
-
or equivalent) in geodesy or a related subject (geophysics, geoinformatics, physics, mathematics) sound experience in applying geodetic space techniques, especially in the analysis of geodetic GNSS measurements
-
welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
-
sciences (including meteorology and oceanography), ecology, mathematics, computer science, engineering, economics, or political science. Students who are still working on their Master's thesis are also
-
, Flemisch 2020. DuMuˣ 3 - an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling. Computers & Mathematics with Applications. https://doi.org/10.1016
-
degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural