Phd állások Németországban (it programozás, fejlesztés)

• Conduct empirical and theoretical interdisciplinary research on legal question answering in German laymen questions
• Design and execute state-of-the-art NLP experiments and user studies
• Independently analyze qualitative and quantitative data

• Develop computer vision models to analyze surgical videos, including action recognition, instrument usage, and relevant interactions
• Build and annotate a suitable dataset in close collaboration with other project staff; develop annotation and quality-assurance tools

• Develop new tools and models for the design and analysis of practical cryptography in the post-quantum setting
• Revisit the concrete security of real-word cryptographic protocols
• Additional responsibilities include supporting the tasks in the Chair, e.g. the organisation of scientific conferences

■ Conduct experimental work in a team of researchers. ■ Modify existing test rigs and conduct measurements. ■ Implement and develop models and features within a multi-phase numerical simulation tool. ■ Perform CFD simulations of metal-fuel processes. ■ Post-process and analyze data. ...

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

• 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

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

- Acquisition and conversion of textual corpora from diverse sources into a shared TEI schema - Refinement of the shared TEI schema and documentation as a TEI customization (ODD) - Supporting full-text digitization via OCR/HTR pipelines - Management of image collections - Modeling metadata for text...

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

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• Flexible starting date all year round and a permanent employment contract
• Individual program length and design your program in agile product areas, corporate start-ups, or classic line organizations with a wide range of workshops and trainings
• One station abroad worldwide within the Bosch Group

• Develop data schemas for the standardised exchange of medical research data
• Conceptualise and implement electronic data collection forms and advance existing processes for data collection and data curation

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship or working student position

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship position