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and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
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, portable ultrasound, and linked electronic health-record data. Research is conducted in close partnership with cardiovascular clinicians, imaging specialists, biomedical engineers, statisticians, computer
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limited to stem cell and developmental biology, neuroscience, biochemistry, molecular and cell biology, computational biology and biomedical engineering. Research Focus ● Stem cell and developmental
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expertise in in vivo two-photon imaging to study how cortical circuits represent and regulate immune responses. Our group focuses on the “neuroscience of immune responses,” applying circuit-level and systems
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offers a vibrant scientific community and outstanding core facilities to support advanced genome engineering, imaging, and high-throughput sequencing. How to Apply Please submit the following materials
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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include: Understand the extent of existing digital images of text, and how the information locked away in them would advance provenance understanding Acquire additional external data, such as the Getty
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Technology, ITS Required Qualifications: Ph.D. in Computer Science, Library/Information Science, Knowledge Graphs / Linked Data in any discipline, or related field Proficiency in Python, and experience with