Phd állások, munkák it programozás, fejlesztés területen

• Design and implement a QC-sample-data strategy to support longitudinal comparability
• Define acceptance criteria and evaluate instrument performance, signal drift, and technical variation across batches and years

• Backend szolgáltatások fejlesztésében való részvétel az IBM Cloud Kubernetes Service csapatában
• Üzleti logika fejlesztése és karbantartása RESTful API-kon keresztül
• Backend orchestration és lifecycle management folyamatok támogatása
• Kubernetes alapú platform-szolgáltatások fejlesztésének támogatása

• 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

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...

• 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

Részvétel a cég által gyártott életmentő és életminőséget javító orvosi berendezések (pl. dialízisgépek) továbbfejlesztésében. A gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása. Az orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése....

Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and...

Guiding customers in their adoption of NVIDIA's compute, networking, and software stacks to deliver end-to-end GenAI and Agentic AI solutions Delivering demos, assisting with proof-of-concepts, writing papers and developer blogs Collaborating with executives and engineering to solve complex...

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...

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....