PhD candidate 'Deep learning medical imaging pancreas'
For the project 'Deep learning medical imaging pancreas' we are seeking for 3 PhD candidates.Pancreatic cancer (PDAC) will soon become the second leading …
- Geert Grooteplein Zuid, Nijmegen, Gelderland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 36 - 36 uur
- € 2495 - € 3196 per maand
For the project 'Deep learning medical imaging pancreas' we are seeking for 3 PhD candidates.
Pancreatic cancer (PDAC) will soon become the second leading cause of cancer-related death in Western societies, worldwide half a million deaths per year. PDAC has the lowest survival of all cancers (median survival time 4.6 months, with patients losing 98% of their healthy life expectancy). The biggest challenge in the management of PDAC and new treatment development is the current inability of patient stratification. PDAC research in genomics, pathomics, and radiomics is scattered and limited, and it is not impacting PDAC healthcare.
Genomics technologies such as next-generation whole-genome sequencing (WGS) and liquid biopsy (ctDNA) are emerging, but not yet routinely used in PDAC diagnosis. Major R&D investments in prostate, lung, and breast cancer have resulted in stabilizing or decreasing mortality. No evidence-based personalized medicine approach for PDAC is currently available in the clinical practice.
Artificial Intelligence (AI) is transforming the field of healthcare. Worldwide interest in artificial intelligence (AI) is high and snowballing, fuelled by the availability of large datasets ("big data"). A new EU project (PANCAIM) aims to pool PDAC omics research data with medical imaging using AI to make an impact on PDAC patients and healthcare.
In Radboudumc PANCAIM aims to research deep learning on PDAC medical imaging (CT,MR,Pathology). Radboudumc is a clinical expert on PDAC and technical expert in the field of deep learning/AI in medical imaging for over 20 years.
We are looking for a creative and enthusiastic researcher with an excellent MSc degree in a relevant field, such as medical image analysis, computer vision, or machine learning or medical degree with serious experience in programming and deep learning.
You have the ambition and academic skills to write and present scientific papers. Substantial experience with deep learning and good programming is essential and should be evident from the (online) courses you've followed, projects you've done, and your GitHub account. Experience in developing / exploring medical image analysis algorithms and a strong affinity with medical topics.
ConditionsUpon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center's HR Department will apply for this certificate on your behalf.
Read more about the Radboudumc employment conditions and what our International Office can do for you when moving to the Netherlands.
In your application please include a motivation letter, your CV, list of grades and links to publications, your Master thesis or other works you have written in English.
All additional information about the vacancy can be obtained from Dr. Henkjan Huisman, Associate Professor of from Dr. Geert Litjens, Assistant Professor Pathology or from Dr. John Hermans, Radiologist. Use the Apply button to submit your application.
Please apply before December 31, 2020.
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