104 computational-physics-"https:"-"https:"-"https:"-"https:"-"Caltech" positions at Technical University of Munich
Sort by
Refine Your Search
-
18.09.2024,Β Academic staff We have several ππ‘π & ππ¨π¬πππ¨π π¨π©ππ§π’π§π π¬ in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion
-
well as organizational transformation. In this context, new modelling approaches are developed that satisfy technical and physical constraints while at the same time incorporating societal and economic aspects
-
in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and international
-
present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Masterβs degree in physics, computer science, Earth system sciences
-
in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and international
-
We are looking for a PhD candidate to join the AI-Based Materials Science group in the Physics Department at the Technical University of Munich. In this position, you will work at the interface
-
imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
-
, data-centric research, and applications to scientific and medical imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related
-
(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
-
shielding methods into the training and application process to provide formal safety guarantees, even in the presence of uncertainties (requires strong mathematical background) ο Contribute to the design and