70 assistant-professor-computer-science PhD positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
The position is available as soon as possible. We offer thorough training in: - Performing a wide spectrum of molecular, cell biology-related and computational methodologies and techniques, such as primary cell
-
interdisciplinary, international, and in-depth, but also practical. We offer a possibility to obtain broad and profound expertise, both theory and practice, in the field of agricultural applications, technology and
-
distinguish you both professionally and personally. • You have obtained very good diploma or master’s degree in forest sciences, economics, environmental science, geo-information science, landscape ecology
-
(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
-
at conferences. The PhD program has a duration of three years and with the PhD degree offered by TUM. Qualifications A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics
-
. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
-
and science communication skills. Our offer We offer a position limited to three years, starting in autumn 2025, with a salary based on the Collective Agreement for the Civil Service of the Länder (TV-L
-
the requirements for admission to a PhD program at TUM. More information on a doctorate at TUM can be found at the web sites of the TUM Graduate School and of the Graduate Center of Engineering and Design . What
-
starting in 2025 within the TUM School of Life Sciences. The group is committed to uncovering mechanisms by which crop plants can increase the uptake of micronutrients from the soil and transfer them
-
to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign