10 algorithm-"Multiple"-"U"-"Prof" "NTNU Norwegian University of Science and Technology" Fellowship positions at City of Hope
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applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to
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, FOLFOX-3B—all of which completed with numerous biomarker-driven projects pending). Participate in paper writing of multiple research projects. Data sets will be electronic. No biological samples will be
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therapeutics or nucleic-acid chemistry o Nanoparticle / liposome formulation and characterization o HTS assay development and robotic screening o Recombinant protein expression in multiple hosts o
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scientific rigor and excellence as documented by peer-reviewed publications. Ability to work in a fast-paced research environment and manage multiple projects and collaborations. Strong team player with
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within the Institute emcompasses multiple disciplines relating to both diabetes and metabolism. As a successful candidate you will: · Perform a variety of wet lab experiments to test the roles
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supported by multiple NIH award (R01, U54) and several other prestigious private awards. As a successful candidate, you will: Directly work on the following projects: 1) RNA modifications and RNA-binding
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Cancer (2024), Blood (2022, 2019, 2019), 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
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presentation, ability to work efficiently in a team and with collaborators · Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage · Previous
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team environment and handle multiple projects simultaneously.
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metabolic syndrome · Utilize multiple cutting-edge technologies, including spatial transcriptomics and single nuclei multiomics, to dissect the molecular mechanisms of cardiomyopathy under diabetes