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studies using microbiological and biochemical tools. · Lead compound isolation and structural characterization efforts in collaboration with chemistry teams. · Mentor and train students and junior
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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aspects of data science. This position will focus exclusively on research and will not have teaching or service obligations. The successful candidate will devise and conducting numerical experiments
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qualitative data. ● Familiarity with mental modeling, fuzzy cognitive mapping, concept mapping, or some comparable research techniques. ● Some background in environmental or ecological sciences. ● Demonstrated
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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harnessing the fundamental sciences to break AI out of its black box using techniques from mathematics and theoretical physics. The postdoctoral researcher will be under the supervision of Prof. James
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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chloroplast protein-protein interactions network (Wang et al., Cell 2023; Wang et al., in preparation for submission). Qualifications: The ideal postdoc candidate must have a Ph.D. in plant science, molecular