Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Your qualifications as an Ingenious Partner: Completed master's studies in materials science, physics, metallurgy, mineralogy, mechanical engineering, or a related field. Expertise in developing
-
complex systems to identify fundamental security and privacy problems and researching and developing solutions that go beyond just short-term problem solving. Our team currently consists of 23 scientific
-
candidate will be integrated in the Vienna Doctoral School of Ecology and Evolution (https://vds-ecology-evolution.univie.ac.at/). The project: The PhD research will focus on the genomic drivers underlying
-
) traces the development and dissemination (in Greek, Coptic, Syriac and Armenian) of early Christian and late antique literature in which the main characters are early Christian individuals connected in
-
the activities of the Clusters. International publication and presentation activities. Participation in the further development of the Clusters. You take on administrative tasks in research, teaching and
-
of plants to challenging environmental conditions. The PhD candidate will be integrated in the Vienna Doctoral School of Ecology and Evolution (https://vds-ecology-evolution.univie.ac.at/). The project: We
-
of Porous Materials lead by Professor Freddy Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields
-
, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our
-
digitaisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
-
work on optimization and optimal control related to partial differential equations with emphasis on new developments related to machine learning and data science. Your profile: • Doctorate related