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to identify coding and regulatory risk factors for early-onset, aggressive, and/or hereditary cancers The successful candidate will lead projects from conceptualization through publication, including
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clinical data for prediction and biological discovery Prospective clinical sequencing to guide the care of cancer patients Studies of coding, non-coding, RNA, and spatial-based drivers of cancer development
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requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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policy-as-code for real-time safety checks Parameter-efficient fine-tuning of LLMs for age-appropriate, pedagogically meaningful dialogue High-performance computing pipelines on Luxembourg's MeluXina
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of scientific contribution, as evidenced by publications, preprints, or submitted manuscripts * Experience in coding in Python or MATLAB * Experience with in vivo calcium imaging or electrophysiology *Minimum