Kutató-fejlesztő mérnök állások Németországban (it programozás, fejlesztés)

• 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

You are involved in the further development of a computational multi-physics simulation framework in C++ and its application to specific research problems, mainly from materials science and process engineering. Additionally, publication of your scientific results in international scientific...

Designing and implementing robust software solutions for optimization and quantum algorithms, integrating them into enterprise-grade systems....

• Development and maintenance of bioinformatics workflows for NGS data analysis
• Exploratory data analysis of large-scale genomic datasets
• Design and execution of independent research projects at the interface of data science and neuroepigenetics
• Contribution to scientific publications and presentations

In this position, you will be responsible for conducting exploration of cutting-edge AI technologies (LLMs, RL, multi-agent AI, autonomy, generative AI, etc.), designing and building rapid prototypes, proof-of-concepts, and demonstrators, as well as evaluating technical feasibility, system impact,...