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engineered animal models with varying health statuses, in compliance with DLAR and Duke policies and standard operating procedures. Specific duties may include: processing incoming animals, changing cages
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/supervisory/managerial role. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION/EXPERIENCE The successful applicant must be eligible for and willing to: Work with hazardous biological agents handled at BSL-2
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prioritize automation initiatives based on ROI, feasibility, and alignment with educational goals. Collaborate with stakeholders to map existing workflows and reimagine them with agentic capabilities. Measure
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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reduced teaching responsibilities. We are a federal competence center for AI education and research. Our research pushes the boundaries in numerous aspects of intelligence, including algorithms and models
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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models
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Mitacs Postdoctoral Fellow to join a collaborative program between UBC, BC Cancer, and SOZO Intuition Systems, a Vancouver-based biotechnology AI company. The appointment is full time for 12 months, with
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. This position is expected to work independently under the guidance of the principal investigator. Projects will involve work with animal model and human patient sample experiments to investigate blood cancer
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agent-based models to understand how RNAs and ribonucleoprotein (RNP) assemblies regulate gene expression, cellular behavior, and subcellular organization. Integration of transcriptomics, ribonomics
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(Terraform or CloudFormation) 2 years of the six years to include experience with data engineering practices incorporating AI capabilities, including: Proven success leveraging generative AI, agent-based