Phd head csm javascript jquery állások, munkák it programozás, fejlesztés területen

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

• Ownership and evolution of Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• Conceptualizing secure workflows for international submission of sensitive medical imaging data
• Defining architectural concepts for the benchmarking and evaluation platform, including controlled and secure execution of externally submitted models

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

• Design and implement state of the Art responsive application inside the ORBIS U framework and integrated into the existing Java and CPL Frameworks
• Deliver re-usable application components.
• Define and design new products as well as incremental re-work of current products.

Acting as Release Engineer / Technical Lead for one of Ambu's core AI/ML initiatives, providing technical direction and ensuring alignment across software, algorithms, systems, and regulatory requirements....

• Lead and collaborate with cross-functional teams to develop AI-driven biomarker signatures for target engagement, patient stratification, and early biological activity
• Design and apply computational pathology and AI approaches across diverse tissue types, disease areas, and clinical endpoints

Lead and collaborate with cross-functional teams to generate digital biomarker signatures from complex datasets using AI/machine learning, enabling target engagement assessment, patient stratification, and early signals of biological activity....