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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 20 hours ago
therapeutics and generic drugs. This effort covers more than just medicines. Research Project: Under the guidance of a mentor, you will engage in a hands-on learning experience involving Cell-free protein
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translational research. The laboratory has established a track record of impactful publications in leading journals, including Neuro-Oncology, Cancer Cell, Cancer Research, Molecular Cell, and Nucleic Acids
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that favor epithelial cells harboring somatic mutations commonly associated with breast cancer. This work will integrate computational modeling with experimental cell and tissue biology to investigate how
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is CAD $60,000 per annum. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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Details Title Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Position Description The Arlotta lab at HSCRB is working to identify
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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, with an emphasis on understanding how islet size, architecture, cell-cell interactions, and their microenvironment regulate endocrine function, to uncover mechanisms that can restore function in type 1
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cellular immunity, including antibody, B-cell, and T-cell responses. Use advanced in vivo models for vaccine and antibody testing, including conventional and humanized mice, transgenic models, rabbits, non
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veterinarians, pork producers, and members of the veterinary biologics industry. Learning Objectives: During this appointment, you will learn to: a) handle multiple bulk and single-cell transcriptomics datasets
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educational data obtained from learning platforms, digital learning tools (e.g., mobile apps), and/or ecological momentary assessments (EMAs). The candidate will work closely with Prof. Kou Murayama, Prof