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, scientists, clinicians and artists that work at the intersection of art, cell biology, design, materials science, and computational modeling. Insta: Studio_DBG YouTube: Disease Biophysics Group Website
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, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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used to assess transfer of pathogen loads to fruits and vegetables. The microbial community changes and its influence on pathogen levels will also be quantified. These data will fit into models
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motivated individuals to join our team. Our laboratory is dedicated to advancing neural stem cell biology, including neural stem cell proliferation, differentiation, as well as their contributions to brain
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). This work is part of a larger project aiming to develop novel battery thermal management systems (BTMS). The main tasks include (i) The development of an integrated model for the BMS-BTMS
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training and fine-tuning large language models (LLMs) to extract structured clinical concepts from unstructured EHR, pathology, and radiology reports. The role involves publishing in high-impact, peer
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bringing together leading experts in brain development. We believe it is essential to investigate the determinants of normal development and we bring together expertise in basic animal models, the latest
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, molecular immunology, and translational models. Led by Dr. William Gibson, the lab is based at Dana-Farber and Harvard Medical School and is committed to developing new therapeutic platforms that bridge
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models