Seqanswers Leaderboard Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • AI4BI_CDT
    Junior Member
    • Oct 2024
    • 1

    PhD Doctoral Researcher in AI for Biomedical Innovation @ University of Edinburgh

    UKRI AI Centre for Doctoral Training in Biomedical Innovation is now accepting applications for September 2025 entry

    At least 12 fully funded 4-year PhD studentships are available. Visit our website to see the selection of PhD projects to choose from and find out how to apply.
    UKRI AI CDT in Biomedical Innovation
    Deadline: 20 January 2025

    Artificial intelligence has immense potential to tackle the major global health challenges, optimise healthcare systems and improve patient outcomes. The greatest challenge to realising this potential is translation of AI research into real-world use. Our CDT aims to address this challenge by training interdisciplinary researchers who would possess the technical skills, biomedical domain knowledge, and experience developing and implementing innovative AI approaches in the private and public sectors.
    This is a flexible cohort based 4-year PhD programme with integrated study that has embedded training in innovation and entrepreneurship. Our model is suitable for both those with relatively little prior exposure to computer science and mathematics, but who contribute essential biomedical knowledge, and those with backgrounds in computer science, mathematics or physics who wish to develop and apply methodologies to biomedicine.
    Well-rounded training and development, collaboration and engagement opportunities provided to the students through our programme will turn them into highly competent, sought-after researchers suitable for a variety of careers both inside and outside of academia.

    CDT Programme at a Glance
    • Innovative interdisciplinary training programme with a focus on application of novel methods to real-world challenges to improve health outcomes for patients and benefit society.
    • Supervision by at least two expert researchers, covering expertise in artificial intelligence and biomedicine from world-leading research groups across the University of Edinburgh.
    • Each PhD project features close collaboration with an external partner from the industry or public sector.
    • Access to the world-class interdisciplinary research community of the School of Informatics, and state-of-the-art facilities including unique data and computational resources.
    • Opportunities for research placements and internships with our UK and international partners across different sectors.
    • Tailored training in stakeholder engagement, science communication, career planning, leadership skills, and responsible research AI practices.
    • Generous support for entrepreneurship and startup development
    • Diverse programme of CDT events including masterclasses, summer schools, hackathons, retreats, and partner engagement days.

    Student support for all needs
    The CDT seeks to foster an inclusive and accessible environment where everybody feels supported and respected.
    CDT programme offers tailored support and flexible working patterns to meet individual student needs. Studies can be undertaken on a part-time basis to accommodate students wishing to combine their studies with work or personal responsibilities. All CDT studentships are fully funded and have provisions for sick pay, parental leave and disabled students support. We also provide individual coaching sessions to students from underrepresented groups to support their PhD journey and post-PhD career choices.

    Funding
    Funding covers tuition fees and a stipend (£19,237 in 2024/25) for 4 years, and an individual budget for travel and research costs.
    Both UK and international students are eligible for the funding.

    For any enquiries please contact the team at [email protected]

    UKRI AI CDT in Biomedical Innovation

Latest Articles

Collapse

  • seqadmin
    Pathogen Surveillance with Advanced Genomic Tools
    by seqadmin




    The COVID-19 pandemic highlighted the need for proactive pathogen surveillance systems. As ongoing threats like avian influenza and newly emerging infections continue to pose risks, researchers are working to improve how quickly and accurately pathogens can be identified and tracked. In a recent SEQanswers webinar, two experts discussed how next-generation sequencing (NGS) and machine learning are shaping efforts to monitor viral variation and trace the origins of infectious...
    03-24-2025, 11:48 AM
  • seqadmin
    New Genomics Tools and Methods Shared at AGBT 2025
    by seqadmin


    This year’s Advances in Genome Biology and Technology (AGBT) General Meeting commemorated the 25th anniversary of the event at its original venue on Marco Island, Florida. While this year’s event didn’t include high-profile musical performances, the industry announcements and cutting-edge research still drew the attention of leading scientists.

    The Headliner
    The biggest announcement was Roche stepping back into the sequencing platform market. In the years since...
    03-03-2025, 01:39 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 03-20-2025, 05:03 AM
0 responses
41 views
0 reactions
Last Post seqadmin  
Started by seqadmin, 03-19-2025, 07:27 AM
0 responses
47 views
0 reactions
Last Post seqadmin  
Started by seqadmin, 03-18-2025, 12:50 PM
0 responses
36 views
0 reactions
Last Post seqadmin  
Started by seqadmin, 03-03-2025, 01:15 PM
0 responses
191 views
0 reactions
Last Post seqadmin  
Working...