Researcher Ai
2 weken geleden
2 year with a possible extension of 2 years Radboudumc has a strong track record in developing AI-based diagnostic and prognostic models. We are expanding this strength substantially in our pursuit of patient-centred and innovative care, and we are also leveraging global developments in this area. The overall vision is to integrate multiple multimodal data sources from diverse studies and data collections - from clinical trials to routine care data - to better understand conditions and their course. The objective is to gain deeper insights into health, prevention and disease processes to support innovations in person-centred prevention and therapy.
Real-World Data studies and collections in combination with advanced models and AI solutions present specific challenges. In the context of this position, the ambition is to unlock and leverage data that is already routinely collected, both within Radboudumc and with collaborative partners. The quality and validation of models usually require even more comprehensive datasets, such as international patient registries and international collaborations of the Radboudumc, which involve the sharing of large amounts of data, provide a solid foundation for AI and model development.
**Tasks and responsibilities.**
**Due to our focus on implementing AI to improve healthcare, we are seeking a postdoctoral researcher with the potential to advance into the talent track to assistant professor within 1 or 2 years to spearhead the continuous evaluation and validation of advanced AI-based models based on real-world data on an international scale.**
- A gross monthly salary between € 4.678 and € 6.402 (scale 11) for full-time employment (36 hours per week). You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus, and, depending on the position, an allowance of 47% to 72% for working irregular hours.
- 172 vacation hours per year based on a 36-hour working week. (As of 1 January 2025, you will receive 176 vacation hours).
This position is partly funded by the resources made available by the medical sciences sector plan. With the sector plans, the Ministry of Education, Culture and Science (OCW) intends to make a structural contribution to the cohesion and cooperation between education and research, and to relieve stress and pressure related to science by offering more permanent contracts. In addition, the sector plans contribute to making joint and clear choices in the division of tasks and signatures of the Dutch universities.
We hope this will not only give an impulse to the research within the Radboudumc, but also strengthen the unique position of university medical centers: in no other place is the interaction between fundamental research and the treatment of (complex) patients so clearly present, and the potential for impact on both patients and healthy people so great.
**Sectorplan - Data-driven Innovation**
In the focus area 'data-driven health: AI, e-health and medical technology,' we are committed to developing and implementing new technology in medical practice. The sector plan allows Radboudumc, together with regional, national and international collaboration partners, to continue building a self-learning healthcare system where data about our patients and treatment outcomes are used to improve the treatment of future patients and develop new prevention strategies.
**Radboudumc**
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on health and healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do. We are seeking a solution-oriented researcher with experience in quantitative modelling and analysis of complex (disease) processes, preferably using diverse data sources, and specifically medical and real-world data.
Moreover you have:
- A PhD degree with strong mathematical and statistical background, in medical biological context.
- Demonstrated experience in the development of complex quantitative models, preferably including machine learning and deep learning approaches.
- A cross-disciplinary outlook and enjoy working in interdisciplinary teams.
- Proven interest in biomedical problems and the drive to develop new methods and reliably put them into practice.
- Persuasive collaborative and a focuse on structural solutions that have broad applicability.
- Experience in establishing educational training at Msc and post-g
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