Cees Snoek
6 months ago
AI-driven oncology research University of Amsterdam in Netherlands
Degree Level
PhD
Field of study
Oncology
Funding
Full funding availableDeadline
December 31, 2026
Country
Netherlands
University
University of Amsterdam
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More information can be found here
Keywords
Oncology
Computer Science
Deep Learning
Biology
Artificial Intelligence
Health Science
Cancer Research
Computer Vision
Healthcare Delivery
Multimodal Analysis
Machine learning
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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We are thrilled to announce ???????? ?????? ?????????????????? ???? ???????????????????? ???????????? ?????? ????????????????, based in Amsterdam, Netherlands. This groundbreaking collaboration brings together three esteemed institutions: the ?????????????????????? ???????????? ??????????????????, the ???????????????????? ???? ??????????????????, and ??????????.???? Together, we're pioneering innovative AI solutions to transform cancer research and treatment.
If you’re passionate about artificial intelligence and its potential to revolutionize healthcare, this is your chance to make a profound impact. We’re seeking talented individuals with a strong background in machine learning and computer vision to join our dynamic team at the forefront of ????-???????????? ????????????????.
Key aspects of these roles include:
- Developing cutting-edge foundation models for cancer research.
- Integrating multimodal data (omics, clinical) to solve complex problems like treatment response prediction and patient outcomes optimization.
We’re looking for motivated candidates with expertise in AI/ML, strong programming skills, and a knack for deep learning. Experience with biological data is a plus but not required—this is an early-stage opportunity where you’ll help shape the future of oncology research.
If you're ready to push boundaries and contribute to life-saving innovations, we’d love to hear from you!
?? Apply now or share this post with someone who might be interested.
PIs: Jonas Teuwen , Kevin Groot Lipman , Lodewyk Wessels and myself.
Apply before October 19th!
# PhDPositions # AIinHealthcare # OncologyResearch # Innovation # NetherlandsCancerInstitute # UniversityofAmsterdam # Kaiko
https://lnkd.in/grwaSpkZ