Our network is open and accessible for everyone to join. We welcome scientists at various stages in their career including postgraduate students, early or senior career researchers from Academia or Industry and we also have an interest in PPI.
The diversified portfolio and methodological tools that X-Net offers will open perspectives, more prospects of collaboration with larger networks and more colleagues in more fields. It brings the potential for novel exciting breakthroughs with relevance in real-life and increased career opportunities.
It is for STEM scientists interested in transitioning to biomedical and computational areas, backgrounds in any scientific discipline are always welcome.
We would like to help biomedical cross-disciplinarians through our network of researchers, 4 different workshops, training curricula, roadmaps and reports, initially designed to encourage STEM researchers to transition into biomedical science.
UK Research and Innovation’s (UKRI) five-year (2022-2027) strategy sets out long-term, high-level priorities for how an outstanding research and innovation system will be delivered in the UK. It highlights UKRI’s key role in delivering the government’s ambitions for the UK as a global leader in research and innovation.
The Cross-Disciplinary Fellowships Programme at the University of Edinburgh is led from the Institute of Genetics and Cancer (IGC) in partnership with the School of Informatics (SoI). It is a post-doctoral level programme for physicists, computer scientists, mathematicians, statisticians, chemists, engineers and similar, seeking training to perform research integrating knowledge and methods from different disciplines, and to become leaders in Quantitative Biomedicine.
The Oxford Biomedical Data Science Training Programme delivers training in the skills and methods required for the analysis and interpretation of large-scale biomedical datasets, particularly genomic and functional genomic data. This unique training programme consists of four weeks of lectures and tutorials, building basic data science skills in Linux and R, with an emphasis of single-cell genomics. To date the programme has trained over 100 biomedical researchers, who have benefited from the course in different ways.
The X-Net initiative aims to promote cross-disciplinary research, encourage communication and strengthen cooperation among biomedical researchers from academia and industry, removing the barriers related to it. X-Net can help you to make the most of your cross-disciplinary research by maximizing the opportunities and minimizing the risks.