45 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD scholarships at Leibniz in Germany
Sort by
Refine Your Search
-
. or comparable) in (bio-)physics, (bio-)chemistry, materials science, mechanical/(bio)chemical engineering or similar fields. Highly motivated and team-oriented Passion for multidisciplinary research and eagerness
-
relevance. This project bridges materials science, bioengineering, and cell biology, contributing to the development of advanced biomaterials for tissue engineering and disease modeling. Your profile Master’s
-
CANCER (F/M/D) Starting on May 1st, 2026 (with flexibility). We have pioneered the development of synthetic tumor immune microenvironments, engineered from artificial cells that mimic immune functions
-
In order to optimise our website for you, we use cookies that are necessary for technical operation. Other cookies are only set with your consent, for example to make external content available. You can find information on the use of cookies and the use of your data as well as objection options...
-
and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
-
and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
-
yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
-
to request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information
-
yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
-
an interdisciplinary consortium studying the “GEvol: Genomic Basis of Evolutionary Innovations (GEvol)” (Priority Programme, SPP 2349 funded by German Science Foundation (DFG)). We are recruiting a highly motivated