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Posting Details Position Details Title Postdoctoral Fellow in Bio-Photonics and optical imaging Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location
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Microsoft Cloud Civil Liberties & Health Policy Research Fellow - Law Cordell institute for Policy i
, medicine, public health, technology, and governance, with a particular focus on strengthening accountability, innovation, and public trust. The Microsoft Cloud Civil Liberties and Health Policy Research
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such datasets. In addition, this position involves working with DRSC/TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 6 days ago
, sensitivity analysis, and assessment of model credibility. Computational characterization of pharmaceutical products using physicochemical, structural, formulation, manufacturing, and performance-related data
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) Department What will I be doing and why should I apply? As the selected candidate, you will engage with data scientists, and systems engineers in research projects with emphasis on various advanced modeling
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antibody-based approach to intervene the malignancies 3) Identification of novel therapeutic target using high-throughput CRISPR genetic screen (e.g., metabolic pathway, mitochondria structure) in immune
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61018 Location Columbia Department Construction Services Job Family Service/Maintenance Business Unit University of MO-Columbia Posted Date 09/30/2026 Close Date 10/29/2026 Job Title Electrical Engineer
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applicants for a postdoctoral fellow position in the Brown lab at Harvard Medical School in Boston, Massachusetts. The Brown lab uses structural, biophysical, and biochemical approaches to decipher the biology
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nanobodies and engineered variants, endothelial barrier and calcium signaling assays, and multiomic phenotyping of post-injury states. Candidates should hold a PhD in biochemistry, molecular biology, cell
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), physics, math, engineering or a related quantitative discipline is required. Experience with cancer genomics, computational analysis, algorithm development, statistics and machine learning. Experience with