Die KI-Suchmaschine für Jobs
Master Thesis Deep Learning for Ultrasound(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Aufgaben
- •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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
- Bosch GroupVollzeitnur vor OrtBerufseinsteigerRenningen
- Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Vollzeitnur vor OrtKeine AngabeRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Bosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Vollzeitnur vor OrtKeine AngabeRenningen
Master Thesis Deep Learning for Ultrasound(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Aufgaben
- •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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Über das Unternehmen
Bosch Group
Branche
IT
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
- Bosch Group
Master Thesis Multi-Teacher Distillation of Self-Supervised Models for 3D Perception(m/w/x)
Vollzeitnur vor OrtBerufseinsteigerRenningen - Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Vollzeitnur vor OrtKeine AngabeRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Bosch Group
Master Thesis in Validation and Optimization of Controllers Using Foundation Models(m/w/x)
Vollzeitnur vor OrtKeine AngabeRenningen