106 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Technical University of Munich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
leader with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related fields Experience in applied data science and machine
-
of Prof. Carsten Trinitis as well as of the Audi Data & AI Team (Dr.-Ing. Benjamin Hadwiger and Dr.-Ing. Florian Meyer) in Neckarsulm. Requirements • MSc in Computer Science, Electrical Engineering, or a
-
of Computer Science is part of the TUM School of Computation, Information and Technology (CIT). **Employment Conditions** • Start date: Flexible, from February 2026 onward • Salary: Based on the German public sector
-
of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise student research. Your profile: Above
-
: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
-
cancer. The job The technology of photoswitching-optoacoustics bears massive promise to visualize small cell populations and their functionality without background deep in the live animal (see Stiel, Nat
-
a unique bridge between management and technology. The TUM Campus Heilbronn is a dynamic organization whose goal is to achieve excellence in research, teaching and impact. Your tasks: • Contribute
-
Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands
-
production concepts shall be investigated. You should hold a MSc. or Dipl. degree in aerospace or mechanical engineering well above average and you should have experience in designing, building and testing
-
use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry