10 beste Stellen als machine learning in chemnitz, sn – aktuell auf Personalsuche

Students: Exploring Machine Learning Applications in Real-Time Dose Verification for Proton Therapy
Electronic Nano Systems —Chemnitz
- Master
- Machine Learning
- Python
Master's Thesis: Modeling and Simulation of Wafer Bonding Process
Electronic Nano Systems —Chemnitz
- Master
- Mechanikkenntnisse
- Python
- Flexible Arbeitszeiten
Studentische Hilfskraft im Bereich: semantic modelling and machine learning
Werkzeugmaschinen und Umformtechnik —Chemnitz
- Java
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KI-Ingenieur Wärmenetzplanung (m/w/d)
TKI mbH —Chemnitz
- Hybrides Arbeiten
- Informatik
- Englisch
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- Flexible Arbeitszeiten
14 Tage
Studierende: Computer Vision in der Halbleiter-Metrologie
Elektronische Nanosysteme —Chemnitz
- Online-Bewerbung
- Machine Learning
- PC-Kenntnisse
- Python
Studierende: Anwendungen des maschinellen Lernens für die Protonentherapie
Elektronische Nanosysteme —Chemnitz
- Online-Bewerbung
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- Künstliche Intelligenz
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Students: Computer Vision in Semiconductor Metrology
Electronic Nano Systems —Chemnitz
- Master
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Students: Artificial Intelligence in Semiconductor Technology
Electronic Nano Systems —Chemnitz
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- Künstliche Intelligenz
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Studierende: Künstliche Intelligenz in der Halbleitertechnologie
Elektronische Nanosysteme —Chemnitz
- Online-Bewerbung
- Machine Learning
- Künstliche Intelligenz
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KI Prompt Engineer/AI Consultant (m/w/d) – 100% remote
mycareernow GmbH —Chemnitz
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
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Students: Artificial Intelligence in Semiconductor Technology
Electronic Nano Systems —Chemnitz
A strong interest in interdisciplinary work at the intersection of semiconductor technology, data science and artificial intelligence is essential.

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Students: Exploring Machine Learning Applications in Real-Time Dose Verification for Proton Therapy

Electronic Nano Systems -
Chemnitz

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Details zur Stelle

Qualifikationen

Master
Machine Learning
Python

Vollständige Stellenbeschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely: 30 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

The particular strength of the Fraunhofer Institute for Electronic Nano Systems ENAS lies in the development of smart systems - so-called intelligent systems for various applications. The systems combine electronic components, micro and nano sensors and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production as well as system concepts and system integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to the design, technology development or implementation using existing technologies, right through to the tested prototype.

The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is on semiconductor manufacturing and medical technology.

Are you passionate about cutting-edge research at the intersection of healthcare, technology and data science? Join our team in European projects and work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics.

We are currently looking for students for Master's theses, internships and student assistants. We can discuss our ideas together to find the right job for you.

What you contribute

You already have some practical experience with AI and machine learning algorithms? Then you've come to the right place.
Excellent programming skills (preferably in Python) are required.
A strong interest in interdisciplinary work at the intersection of medical engineering, physics, mathematics and data science is essential.
Still studying in Chemnitz, Mittweida or the surrounding area.
A grade point average of < 2 is preffered

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

Dr. Jan Langer will be happy to answer any questions you may have about the position. Please submit your questions here via our recruiting portal.

For data protection reasons, we can only consider applications submitted via our career portal - thank you for your understanding.

Fraunhofer Institute for Electronic Nano Systems ENAS

Requisition Number: 73204 Application Deadline:

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Erweiterte Suche

machine learning Jobs in chemnitz, sn

Students: Exploring Machine Learning Applications in Real-Time Dose Verification for Proton Therapy

Master's Thesis: Modeling and Simulation of Wafer Bonding Process

Studentische Hilfskraft im Bereich: semantic modelling and machine learning

KI-Ingenieur Wärmenetzplanung (m/w/d)

Studierende: Computer Vision in der Halbleiter-Metrologie

Studierende: Anwendungen des maschinellen Lernens für die Protonentherapie

Students: Computer Vision in Semiconductor Metrology

Students: Artificial Intelligence in Semiconductor Technology

Studierende: Künstliche Intelligenz in der Halbleitertechnologie

KI Prompt Engineer/AI Consultant (m/w/d) – 100% remote

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