Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
Full-timeInternshipOn-site
Stuttgart
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BOBosch Group
Master Thesis Deep Learning for Ultrasound(m/w/x)
Renningen
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
In this role, you will focus on creating and refining deep learning models for ultrasound data, exploring innovative approaches, and integrating video data to enhance performance. Your work will involve evaluating these models against established benchmarks while ensuring that the solutions are practical and robust for real-world applications.
Requirements
- Master's degree in Natural Sciences or Engineering
- Strong knowledge of Deep Learning, Computer Vision, Machine Learning, and 3D perception systems
- Practical experience in Python
- Very good knowledge of a deep learning framework (preferably PyTorch)
- Ability to work independently
- Strong intrinsic motivation
- Fluency in English
- Language: English
- Enrollment at university
Tasks
- Develop deep learning models for ultrasound data
- Implement innovative ideas for model improvement
- Fuse ultrasound data with video data for enhanced performance
- Evaluate new models against existing baseline models
- Work with real-world data to ensure practicality and robustness
Education
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
PythonPyTorch
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Bosch Group
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Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-siteRenningen
BOBosch Group
Master Thesis Deep Learning for Ultrasound(m/w/x)
Renningen
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
In this role, you will focus on creating and refining deep learning models for ultrasound data, exploring innovative approaches, and integrating video data to enhance performance. Your work will involve evaluating these models against established benchmarks while ensuring that the solutions are practical and robust for real-world applications.
Requirements
- Master's degree in Natural Sciences or Engineering
- Strong knowledge of Deep Learning, Computer Vision, Machine Learning, and 3D perception systems
- Practical experience in Python
- Very good knowledge of a deep learning framework (preferably PyTorch)
- Ability to work independently
- Strong intrinsic motivation
- Fluency in English
- Language: English
- Enrollment at university
Tasks
- Develop deep learning models for ultrasound data
- Implement innovative ideas for model improvement
- Fuse ultrasound data with video data for enhanced performance
- Evaluate new models against existing baseline models
- Work with real-world data to ensure practicality and robustness
Education
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
PythonPyTorch
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Bosch Group
Industry
IT
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
Full-timeInternshipOn-siteRenningen