23 Machine Learning-Jobs in Graz
Lead Data Engineer / Lead Data Scientist
Wir entwickeln intelligente, datengetriebene Produkte, die reale Prozesse in der Intralogistik effizienter, transparenter und smarter machen. Du arbeitest eng mit einem interdisziplinären Team aus Entwickler:innen, Produkt- und Domänenexpert:innen zusammen, von der ersten Idee bis zum produktiven Einsatz unserer skalierbaren …
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Bioinformatician/Data Engineer (f/m/d)
Develop, standardize and execute data processing pipelines (ETL) for biomedical data - Taking on the role of a data steward, ensuring that all data activities are documented and follow the highest quality and cyber security standards
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Thesis - Machine Learning methods in the field of ADAS/AD
For the application of testing autonomous driving systems under different driving conditions, AVL is developing various machine learning components that are integrated into complex virtualized testing environment or used together with well-accepted ADAS/AD …
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Senior Data Engineer
Integrating with cloud services such as Azure, AWS, or GCP to enable secure, cost-effective data solutions - Contributing to data modeling and architecture decisions to ensure consistency, accessibility, and long-term maintainability of the data landscape … Interest or experience with machine learning or AI …
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Thesis - Optimizing Battery Testing for EVs: Machine Learning in Lab Management
What we offer you - Batteries, being the most valuable and defining component of electric vehicles (EVs), are of paramount importance to future mobility. The demand for battery testing facilities is soaring, with capacities being reserved years ahead … Knowledge of machine learning algorithms (e.g
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Thesis - Machine learning based testing of battery and fuel cells
What we offer you - Fitting Physical Models to the test measurements of the Batteries or Fuel Cells are a powerful tool in capturing their inner characteristics. However, the fidelity of the physical model is highly dependent on the set of physical phenomena coved by mathematical formalism
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Thesis Machine Learning methods in ADAS/AD
Testing and analysing full self-driving stacks under different hardware and software configurations with the integrated methods. Technologien und Skills - Python - C++ - Unsere Erwartungen an dich: Qualifikationen - Ongoing studies in the fields of Computer Science, Telematics, Physics or Electrical Engineering
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Thesis - Machine Learning for the virtual testing of autonomous driving vehicles
What we offer you - Automotive companies are intensively developing automated driving functions and vehicles. Unfortunately, we have already seen severe road accidents involving automated vehicles … Performance comparison of the Machine Learning methods developed at AVL
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Student Project Assistant (Audio Signal Processing / Machine Learning)
TU Graz master student of information and computer engineering, sound engineering or similar … Software development background for computationally efficiently processing - Knowledge of Julia will be a plus - Ideally you combine the work with a Master’s thesis
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Thesis - Machine Learning methods in the field of ADAS/AD
Development of new generation machine learning methods focused on the detection of object, lane and driving scenarios - Integration of the developed methods into AVL platforms - Testing and analysing full self-driving stacks under different hardware and software configurations with the integrated methods
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