Stryker Leibinger GmbH & Co. KG
Master’s Internship Research & Development (R&D) Sports Medicine(m/w/x)
Full-timeInternshipOn-site
Freiburg im Breisgau
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FRFraunhofer-Gesellschaft
Master's thesis "Representation Learning for Solar Cell Production Analytics"(m/w/x)
Freiburg im Breisgau
Full-timeInternshipOn-site
Green Job
Data Science
Nejo AI Summary
Developing AI models for solar cell production analytics using real-world data. Representation learning and statistical analysis experience required. Exclusive research insights, flexible hours.
Requirements
- Natural or engineering sciences study (e.g., computer science, microelectronics, physics)
- Experience in computer vision, representation learning, statistical data analysis
- Knowledge in solar cell research (advantageous)
- Team contribution and interdisciplinary collaboration
- Independent and high-quality task completion
- Persistence in facing challenges
- Building trusting relationships, clear communication, attentive listening
- Overcoming obstacles and setbacks in goal pursuit
- Proficiency with PyTorch and training AI models
- Developed own models and performed statistical data analysis (ideal)
- Very good English skills, spoken and written
Tasks
- Develop AI models for meaningful data representations
- Identify connections between production and measurement data
- Evaluate various statistical analysis methods
- Work with real data, handling outliers and pitfalls
- Regularly interact with colleagues
- Present research findings to the team
- Analyze relationships in solar cell manufacturing
- Use state-of-the-art representation learning methods
- Apply classical statistical analysis techniques
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
Benefits
Flexible Working
- Flexible working hours
Learning & Development
- Exclusive insight into research and development
Other Benefits
- Connect experimental work with theory
- Teamwork experience
- Diversity and inclusion
Mentorship & Coaching
- Guidance from scientists
Team Events
- After-work events
- Annual staff parties
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?
- Stryker Leibinger GmbH & Co. KG
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Full-timeInternshipOn-siteFreiburg im Breisgau
FRFraunhofer-Gesellschaft
Master's thesis "Representation Learning for Solar Cell Production Analytics"(m/w/x)
Freiburg im Breisgau
Full-timeInternshipOn-site
Green Job
Data Science
Nejo AI Summary
Developing AI models for solar cell production analytics using real-world data. Representation learning and statistical analysis experience required. Exclusive research insights, flexible hours.
Requirements
- Natural or engineering sciences study (e.g., computer science, microelectronics, physics)
- Experience in computer vision, representation learning, statistical data analysis
- Knowledge in solar cell research (advantageous)
- Team contribution and interdisciplinary collaboration
- Independent and high-quality task completion
- Persistence in facing challenges
- Building trusting relationships, clear communication, attentive listening
- Overcoming obstacles and setbacks in goal pursuit
- Proficiency with PyTorch and training AI models
- Developed own models and performed statistical data analysis (ideal)
- Very good English skills, spoken and written
Tasks
- Develop AI models for meaningful data representations
- Identify connections between production and measurement data
- Evaluate various statistical analysis methods
- Work with real data, handling outliers and pitfalls
- Regularly interact with colleagues
- Present research findings to the team
- Analyze relationships in solar cell manufacturing
- Use state-of-the-art representation learning methods
- Apply classical statistical analysis techniques
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
Benefits
Flexible Working
- Flexible working hours
Learning & Development
- Exclusive insight into research and development
Other Benefits
- Connect experimental work with theory
- Teamwork experience
- Diversity and inclusion
Mentorship & Coaching
- Guidance from scientists
Team Events
- After-work events
- Annual staff parties
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?
- Stryker Leibinger GmbH & Co. KG
Master’s Internship Research & Development (R&D) Sports Medicine(m/w/x)
Full-timeInternshipOn-siteFreiburg im Breisgau - Stryker Leibinger GmbH & Co. KG
Master Thesis Research & Development (R&D) Sports Medicine(m/w/x)
Full-timeInternshipOn-siteFreiburg im Breisgau - Fraunhofer-Gesellschaft
Master Thesis - Novel RF Transistor Technologies for (Sub-)Milllimeter Wavelength Power Amplifiers(m/w/x)
Full-timeOn-siteNot specifiedFreiburg im Breisgau - Fraunhofer-Gesellschaft
Masterarbeit - Entwicklung eines KI basierten Vitalitätsindex aus multispektralen LiDAR Daten(m/w/x)
Full-timeInternshipOn-siteFreiburg im Breisgau - Stryker Leibinger GmbH & Co. KG
Internship /Praktikum – Computer Vision, Machine Learning & Medical Navigation(m/w/x)
Full-timeInternshipOn-siteFreiburg im Breisgau