108 parallel-computing-numerical-methods-"Multiple" Fellowship positions at Nature Careers
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foundation in related fields who are eager to learn and contribute to our research program. Technical duties include but are not limited to: Lead independent research projects, including hypothesis development
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(MESS) collaboration, the groups are working together to advance computational methods for the design and understanding of molecular motion, and addressing current obstacles to accuracy and tractability
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The BrainSignatures Lab (BSL) in its current form is a proteomics lab dedicated to finding biofluid signatures of Alzheimer's disease and other dementias. We follow multiple longitudinal cohorts
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cancer genes for their impact on tumorigenesis, signaling activation, and targeted therapy response (e.g., Nat Commun 2019, Nat Cell Biol 2020, Nat Commun 2024, Sci Adv 2025, Nat Genet 2025). The method
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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Postdoctoral Research Fellow - Oncology and Health Policy Dana-Farber Cancer Institute Boston, MA Full Time Overview Program: The Fellowship will provide a two-year mentored training experience in
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-cell development and lymphoid leukemogenesis and the application of these mechanistic insights to the development of novel anti-cancer immunotherapy approaches, methods to improve T-cell recovery
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on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from
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research program exploring: (i) the role of replication timing in cell-fate transitions; (ii) the impact of ERCE sequence variation on phenotypic traits; and/or (iii) the potential of ERCEs as tools for cell
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of neurodegenerative diseases, with a special focus on Alzheimer’s Disease (AD). Current research focuses on using novel methods to detect genetic associations with disease, including AI-powered tools and new