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computational models generate hypotheses and, with the help of partner labs, validate them in controlled systems. The end goal is a mechanistic and clinically relevant map of how CIN shapes cancer behavior and
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patient stratification and combination therapy choices. You’ll be part of a tightly integrated team that uses computational models generate hypotheses and, with the help of partner labs, validate them in
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cover letter explaining why your background is a good fit for this project. Where to apply Website https://jobrxiv.org/job/medical-university-of-innsbruck-27779-phd-position-gene… Requirements Additional
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, previous models have struggled to generalise beyond the hospital they were trained on. We believe that generative pre-training offers a promising path to a new class of models that work across settings and