Machine learning expert állások, munkák

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• Your role will be to develop and establish the scientific foundations for a machine learning-based multiphysics framework, using surrogate models trained on validated EHL simulations.
• You will also create a novel, computationally efficient, data-driven design protocol for lubricated components.

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

• Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
• Plan, execute, document, publish & present status & results to internal & external customers
• Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)