59 computational-physics-postdoc PhD positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
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
-
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
-
15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine learning for dementia prediction. see here:...
-
05.02.2025, Wissenschaftliches Personal PhD position (E13) is available at the Department of Computer Science a the TUM focusing on online learning and game theory. Text in English and German (below
-
economics, mathematics, business/management, physics, psychology, IT, or related fields • Outstanding quantitative skills (profound knowledge of stochastics and calculus is mandatory; knowledge of game theory
-
policy, economic sociology, and international relations. Methodologically, it draws on and combines both quantitative and qualitative methods, with a particular focus on computational and multi-method
-
, metal physics, or a similar degree Experience in software engineering (incl. high-throughput computing) Knowledge in the field of materials engineering of metals and materials modelling (i.e. CALPHAD
-
companies from all over the world, especially the USA, the UK, and Germany. Your Profile: Excellent university degree in engineering, chemistry, materials science, physics, electrochemistry or a similar
-
from academia and industry. The results of your work will be published at scientific conferences and in journals. Your profile: You have an above-average university degree in mechanical or process
-
of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD