NumPy Jobs in Graz

In this master's thesis, you will develop a machine learning model to automate data preparation for vehicle CFD simulations, including creating training datasets and optimizing the model.

In this role, you analyze machine data, develop data infrastructures, and implement machine learning models to optimize predictive maintenance and anomaly detection.

In this role, you will develop scalable ETL pipelines using Apache Spark and Flink, optimize data infrastructures, and create complex analyses and predictive models for our mobility solutions.

In this role, you will develop intelligent data solutions for intralogistics by building robust data pipelines, optimizing algorithms, and creating interactive dashboards for stakeholder insights.

In this role, you will develop robust data pipelines, train machine learning models, and optimize algorithms while collaborating closely with an interdisciplinary team on data-driven solutions for intralogistics.

In this role, you will build robust data pipelines, integrate relevant data sources, and optimize algorithms to create data-driven solutions within an interdisciplinary team.

In this role, you will develop scalable data solutions and robust data pipelines, work on ML models for intralogistics, and optimize existing algorithms to ensure performance and stability.

In this role, you will develop a machine learning model to automate data preparation for CFD simulations. You will collaborate with engineers, conduct literature reviews, and create training datasets.

In this role, you develop robust data pipelines, optimize algorithms, work with machine learning in production environments, and utilize data visualizations to assist stakeholders in making data-driven decisions.

In this role, you develop prototypes and maintain a cloud solution for data storage and processing. You'll collaborate closely with hardware engineers and optimize firmware on test benches and vehicles.

In this role, you implement data-driven solutions and conduct proof of concepts in AI and machine learning while closely collaborating with other data scientists and the client’s technical team.

We develop intelligent, data-driven products that make real processes in intralogistics more efficient, transparent, and smarter. You work closely with an interdisciplinary team of developers, product, and domain experts, from the initial idea to the...

We develop intelligent, data-driven products that make real processes in intralogistics more efficient, transparent, and smarter. You work closely with an interdisciplinary team of developers, product, and domain experts, from the initial idea to the...

Analysis of diffraction and SAXS data: Interpretation of data to gain insights into material properties such as structure and morphology. Prototyping algorithms in Python: Developing, testing and optimizing algorithms for processing SAXS data. Advanced...

Diffraction and SAXS Data Analysis: Interpret data to extract insights on material properties like structure and morphology. Algorithm Prototyping in Python: Develop, test, and optimize algorithms for SAXS data processing. Advanced Statistical Modeling:...