Master Thesis - Munich, Deutschland - Volkswagen AG
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Your working environment-Your tasks
Your Tasks will include:
- Integration of recent LLM based policy generators
- Selecting the right affordances based on user request and robot capabilities
- Combining visual and language inputs for robot control and reasoning
- You should meet a few of these and be eager to learn about the rest.
- Interest in machine learning, sequence models, reinforcement learning;
- Very good with Python; experience with Tensorflow or Pytorch is a plus;
- Very good with numerical optimisation, probability theory, calculus and linear algebra;
- Good knowledge of software development tools such as git.
- Curriculum Vitae
- Certificate of enrollment
- Grade report
- This position is with the
Munich- to fill
- Employment is possible from:
- Immediately
- Reference code:
- E-2342/2023
- Your questions answered
- Mr. Hartmut Fromm under the telephone number
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