Snabbfakta

    • Slough

Ansök senast: 2025-02-19

Walsh Employment | Researcher / Senior Researcher

Publicerad 2024-12-21

Our client combines research and industrial innovation to transform businesses and society. As part of a global R&D network, the business operates a multidisciplinary center focused on advancing research and innovation with dedicated professionals achieving meaningful, human-centered outcomes. We are currently seeking a Researcher / Senior Researcher to join a Research Group working on exploring the use of large-scale Graph Neural Networks for healthcare related applications. This is special interest for the development of AI techniques designed for real-world impact and with a commitment to contributing directly to social good.


Interested in this role You can find all the relevant information in the description below.

Researcher / Senior Researcher -Graph Neural Networks

Slough

£50-55K plus bonus and excellent benefits package.

To be successful in this role:

You will be a confident, proactive Researcher or Senior Researcher with experience with one or more Deep Learning framework (PyTorch preferred) for Graph-based AI, and high proficiency in one or more programming languages (Python preferred).

Other requirements for this role include:

A track record of writing academic publications

Excellent written and verbal communication skills

Additional, desirable qualifications for this role include:

Experience with large-scale or parallel computing

Knowledge of multi-modal or explainable machine learning methods

Familiarity with knowledge graphs and graph databases

Job role and responsibilities:

Develop new, state-of-the-art Graph Neural Network techniques for large-scale healthcare data applications

Implement these techniques into proof-of-concept code and demos to present innovations to stakeholders for feedback

Acquire domain-specific knowledge in target areas to effectively communicate and develop relevant AI solutions

Generate intellectual property and publish work in leading academic conferences and journals

Benefits:

Medical Insurance (subsidised)

Pension Plan

Life insurance

Income Protection


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