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Internship in Probabilistic Deep Learning(m/w/x)
Research exploring Bayesian deep learning techniques for aerospace demonstrators. Python/PyTorch ML algorithm implementation and Bayesian deep learning experience required. Flexible working arrangements.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Benefits
Attraktive Vergütung
- Attractive salary
Familienfreundlichkeit
- Work-life balance
Flexibles Arbeiten
- Flexible working arrangements
Karriere- und Weiterentwicklung
- Opportunity to network globally
Noch nicht perfekt?
- Airbus Defence and Space GmbHVollzeitPraktikumnur vor OrtTaufkirchen, Ottobrunn
- Airbus Defence and Space GmbH
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Internship in Probabilistic Deep Learning(m/w/x)
Research exploring Bayesian deep learning techniques for aerospace demonstrators. Python/PyTorch ML algorithm implementation and Bayesian deep learning experience required. Flexible working arrangements.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Benefits
Attraktive Vergütung
- Attractive salary
Familienfreundlichkeit
- Work-life balance
Flexibles Arbeiten
- Flexible working arrangements
Karriere- und Weiterentwicklung
- Opportunity to network globally
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Noch nicht perfekt?
- Airbus Defence and Space GmbH
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