Kutató állások, munkák programozó, fejlesztő kategóriában

Munkakörhöz tartozó feladatok ellátása....

• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners

SteelcoBelimed, established in 2024 from Steelco and Belimed, leads in advanced cleaning and sterilization solutions. Our motto, ‘Innovate with confidence’, drives us to meet customer needs with cutting-edge products and services. We are your ideal partner for tailored, end-to-end sterile workflow...

Computational Neuroscientist / Electrophysiology Data Analysis Engineer At MaxWell Biosystems, we innovate the future of electrophysiology by developing cutting-edge technologies for neural activity recording. Our platform includes the software MaxLab Live, a custom-designed integrated circuit, and...

As a Research Engineer, you will develop cutting-edge Vision-Language-Action (VLA) architectures that empower AI agents to interpret human instructions and act autonomously in complex environments....

• 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