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Internship in Probabilistic Deep Learning(m/w/x)
Description
In this internship, you will dive into the world of machine learning, focusing on probabilistic and Bayesian deep learning. Your work will involve supporting research and developing demonstrators for exciting aerospace applications.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Enrollment as a full-time student in computer science, information technology, mathematics, engineering, or similar field
- •Experience in implementing machine learning algorithms using Python/PyTorch
- •Experience in Bayesian deep learning and uncertainty quantification
- •Ability to work independently
- •Proficiency in English
- •Student status
Education
Tasks
- •Support research activities in machine learning
- •Focus on probabilistic deep learning
- •Explore Bayesian deep learning techniques
- •Conduct uncertainty quantification
- •Contribute to the development of aerospace demonstrators
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Attractive salary
Family Support
- •Work-life balance
Flexible Working
- •Flexible working arrangements
Career Advancement
- •Opportunity to network globally
- Airbus Defence and Space GmbHFull-timeInternshipOn-siteTaufkirchen, Ottobrunn
- Airbus Defence and Space GmbH
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Internship in Probabilistic Deep Learning(m/w/x)
The AI Job Search Engine
Description
In this internship, you will dive into the world of machine learning, focusing on probabilistic and Bayesian deep learning. Your work will involve supporting research and developing demonstrators for exciting aerospace applications.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Enrollment as a full-time student in computer science, information technology, mathematics, engineering, or similar field
- •Experience in implementing machine learning algorithms using Python/PyTorch
- •Experience in Bayesian deep learning and uncertainty quantification
- •Ability to work independently
- •Proficiency in English
- •Student status
Education
Tasks
- •Support research activities in machine learning
- •Focus on probabilistic deep learning
- •Explore Bayesian deep learning techniques
- •Conduct uncertainty quantification
- •Contribute to the development of aerospace demonstrators
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Attractive salary
Family Support
- •Work-life balance
Flexible Working
- •Flexible working arrangements
Career Advancement
- •Opportunity to network globally
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
- Airbus Defence and Space GmbH
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