Update vacancy-two-postdocs-cpath.md

Author: francescociompi

content/pages/vacancies/vacancy-two-postdocs-cpath.md

@@ -7,7 +7,6 @@ people: Francesco Ciompi, Jeroen van der Laak
 template: vacancy-single
 description: Postdoctoral position for developing and validating AI algorithms for personalized treatment of lung and breast cancer
 
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 ## Background
 Our Computational Pathology Group at Radboud University Medical Center in Nijmegen (Netherlands) is looking for postdoctoral researchers in two projects on computational pathology.
 The arsenal of medical treatments such as immune and targeted therapies is rapidly expanding, but most drugs only benefit a fraction of patients. One of the goals of our research is the development and validation of artificial intelligence techniques which serve as prognostic or predictive biomarkers to identify which particular patient or tumor type will respond to a specific treatment. In two projects, we are looking for a postdoctoral researcher to support this research.
@@ -16,7 +15,6 @@ The arsenal of medical treatments such as immune and targeted therapies is rapid
 
 - Project 2 (KWF-funded) we investigate the use of AI to identify sub-groups of breast cancer patients that are candidates for therapy escalation or de-escalation. The project focuses on commonly available pathology slides, in order to yield solutions that can readily be implemented in routine clinical practice. The project is mostly translational, focusing on providing evidence on biomarkers as well as on implementation.
 
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 ## Tasks and responsibilities
 Position 1:
 - Work in closely collaboration with PhD candidates working at Radboudumc, the VU and AmsterdamUMC to develop artificial intelligence for advanced analysis of HHG images and use it to characterize the tumor-immune microenvironment (TIME) in lung tissue.
@@ -26,8 +24,7 @@ Position 1:
 
 Position 2:
 - Work in closely collaboration with the breast cancer research group working at Radboudumc, to develop artificial intelligence for analysis of breast cancer tissue sections.
-- (Co-)supervise PhD students on the project. 
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+- (Co-)supervise PhD students on the project.
 
 ## Profile
 You should be a creative and enthusiastic researcher with a PhD degree in a relevant field, such as medical image analysis, computer vision, or machine learning. You should have a clear interest to develop image analysis algorithms and an affinity with oncology or medical topics. Good communication skills and expertise in software development, preferably in Python, are essential. Previous experience with (co-)supervision of junior researchers such as PhD students, as well as experience with graph neural networks and foundation models is a plus.