Fraunhofer-Gesellschaft
Master's Thesis: Fair and Balanced Age Estimation through Dynamic Group Training(m/w/x)
Full-timeInternshipOn-site
Darmstadt
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FRFraunhofer-Gesellschaft
Master's Thesis: Modelling Approaches and Loss Design for Precise Age Estimation(m/w/x)
Darmstadt
Full-timeOn-site
Nejo AI Summary
Researching and implementing novel machine learning and computer vision for precise age estimation at research organization. Good knowledge in machine learning, neural network training, and Python skills required; computer vision knowledge preferred. Independent work schedule.
Requirements
- Good knowledge in machine learning and neural network training
- Ideally, knowledge in computer vision and facial recognition
- Good Python skills, preferably PyTorch and OpenCV experience
- Motivation for independent research into new topics
- Interest in optimization and evaluation metrics
- Interest in scientific research
Tasks
- Research and structure current machine learning literature
- Research and implement novel machine learning approaches
- Research and implement novel computer vision approaches
- Plan and conduct experiments
- Critically evaluate obtained results
- Present research results
- Prepare a scientific master's thesis
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- OpenCV
Benefits
Flexible Working
- Independent work schedule
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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?
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Master's Thesis: Detection and Segmentation of Suggestive Clothing(m/w/x)
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FRFraunhofer-Gesellschaft
Master's Thesis: Modelling Approaches and Loss Design for Precise Age Estimation(m/w/x)
Darmstadt
Full-timeOn-site
Nejo AI Summary
Researching and implementing novel machine learning and computer vision for precise age estimation at research organization. Good knowledge in machine learning, neural network training, and Python skills required; computer vision knowledge preferred. Independent work schedule.
Requirements
- Good knowledge in machine learning and neural network training
- Ideally, knowledge in computer vision and facial recognition
- Good Python skills, preferably PyTorch and OpenCV experience
- Motivation for independent research into new topics
- Interest in optimization and evaluation metrics
- Interest in scientific research
Tasks
- Research and structure current machine learning literature
- Research and implement novel machine learning approaches
- Research and implement novel computer vision approaches
- Plan and conduct experiments
- Critically evaluate obtained results
- Present research results
- Prepare a scientific master's thesis
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- OpenCV
Benefits
Flexible Working
- Independent work schedule
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft 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
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
Master's Thesis: Fair and Balanced Age Estimation through Dynamic Group Training(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Fraunhofer-Gesellschaft
Masterarbeit: Modellierungsansätze und Loss-Design für präzise Altersschätzung(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Fraunhofer-Gesellschaft
Masterarbeit: Faire und ausbalancierte Altersschätzung durch dynamisches, gruppenweises Training(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Fraunhofer-Gesellschaft
Master's Thesis: Detection of Suggestive Poses and Facial Expressions(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Fraunhofer-Gesellschaft
Master's Thesis: Detection and Segmentation of Suggestive Clothing(m/w/x)
Full-timeInternshipOn-siteDarmstadt