Kutató állások, munkák Németországban

• The possibility to learn and implement cutting edge technology
• Interpersonal and interdisciplinary mentorship by experienced PhD-level experts
• A modern working environment enabling hybrid work and remote workdays
• An opportunity to join a growing company with many career options

- 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

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...

Conduct bioinformatic analyses of single-cell and spatial transcriptomic datasets to characterize the tumor immune microenvironment in T-cell lymphoma models...

Implementing geothermal plants with material co-production in energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion of decommissioned oil wells...

• Design and execute experiments for purification of recombinant proteins
• Analyze and interpret data to guide process development and troubleshooting
• Collaborate cross-functionally with other RnD teams
• Contribute scientifically to the project progress, lead project discussions and development

• Providing ready to implement vision science concepts for development of digital measurement / digital fitting solutions
• Self-organized, constantly screening, analyzing, monitoring and testing of latest global developments and industry trends in vision science

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

• You are responsible for performing category and competitive sensory mapping
• You collaborate closely with the Consumer Insights Marketing team to deliver consumer-driven sensory data to customers and support key projects

• 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

• to develop automated workflows for descriptor-based microstructure reconstruction
• to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis

• Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes
• Processing and integration of spatial transcriptomics data to reveal molecular patterns in their tissue context

• Disciplinary group leader of 11 beamline teams, laboratories and sample environment
• Full responsibility for budget and staff

• Pathogenesis – mechanisms of viral disease
• Target Characterization – identification of viral and host molecules critical for infection
• Immunity – understanding immune defense and immunopathology in viral infections
• Intervention – development of antiviral and vaccine strategies

• Performing neuronal tracing to analyze the development of brain circuits in mouse models
• Applying tissue clearing techniques and light-sheet microscopy for 3D imaging of the entire mouse brain
• Analyzing and interpreting single-cell genomics data to investigate cellular mechanisms

• Research on Atmospheric Microphysics in the AMP Department
• Strategic management and coordination of CAIS-ECAC within the framework of ACTRIS--ERIC
• Ensuring and monitoring scientific and qualitative standards for aerosol characterization