182 parallel-computing-numerical-methods positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
-
PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
evaluation methods Interactive systems for exploring complex networks Candidates interested in theoretical computer science will have the opportunity to work on topics such as graph algorithms, computational
-
: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de
-
of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal
-
: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer
-
17.10.2025, Wissenschaftliches Personal Do you bring experience in working with lasers? Are you interested in working on method development in femtosecond spectroscopy in an international, motivated
-
, international political economy and European integration theories. Methodologically, it draws on a plurality of approaches, notably qualitative methods.
-
novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
-
tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
-
𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 The PhD focuses on safe and reliable loco-manipulation for mobile and interactive robots such as humanoids. While learning-based methods enable advanced locomotion and manipulation, deploying them