Kutató állások Németországban (programozó, fejlesztő)

• conceptualize and set up the spatial reconstruction framework based on generative AI
• develop and benchmark AI-based methods (GAN, diffusion, transformer) and standard interpolation techniques (graph/spatiotemporal interpolation, kriging/GPs)

- Collaborate with the research team on various AI/ML projects, contributing to the development and implementation of innovative solutions. - Design, train, and optimize AI models using frameworks such as PyTorch and TensorFlow. - Collect, preprocess, and analyze data required for training AI...

• 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.

• Model Research: Conduct research on possible AI models for our use case
• Data Preparation: Assist in curating and preparing datasets of from our database of known errors
• Model Training: Training and fine-tuning the AI agent, ensuring it learns how to accurately detect errors and suggest fixes

• 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)

• Conceptualization, development, and practical validation of innovative automated and AI-supported solutions to enhance documentation and analysis workflows
• Analysis of technical and regulatory requirements and translation into robust, technically feasible concepts