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availability. These contributions will be evaluated across several test beds, digital twins, and use-cases across different industry sectors. The successful candidate will be expected to collaborate closely with
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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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this page. Please ensure you include a completed application form with your submission. Further information about the post is available in the job description. Closing date: midnight on Sunday 29 March 2026
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. Currently, patient selection is insufficiently accuracy, our preliminary modelling work suggest that biomechanics modelling can improve this. You will work with clinicians across Europe to test your algorithm
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) in shaping the microenvironment in ovarian high grade serous carcinoma (HGSC). The post will build on previous work from the McNeish lab, which has identified specific macrophage populations