Phd állások Külföldön (it tanácsadó, elemző, auditor)

• 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 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

• 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

PhD Position in Dynamic Soft Tissue 3D Reconstruction and Simulation The Research in Orthopedic Computer Science (ROCS) group at the University of Zurich develops advanced solutions for surgical context understanding training, guidance, and robotics. Our work combines medical imaging, computer...

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

- 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...

Research Associate Intelligent Signal Processing for Railway IoT 80 - 100 % Are you passionate about pushing signal processing further? Are you fascinated by combining it with deep learning methods to build real-world solutions deployed in operational railway systems? If yes, this role is for you....

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

• 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

Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for plant and animal species identification from camera-trap and crowd-sourced imagery The EcoVision Lab in the Department of Mathematical Modeling and Machine Learning (DM3L) at University of...

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends 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....