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Quantum Information Science and Engineering Theory Postdoctoral Associate Yale University: School of Engineering and Applied Science: Applied Physics: Yale Quantum Institute Location New Haven, CT
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communication skills. Application Process: Interested applicants should contact Dr. Mark Lee, MD, PhD ([email protected] ) with the Subject line: “Postdoctoral associate position in the Lee lab” with a brief
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. Applicants may be interested in projects involving any of these areas as they pertain to questions in stem cell biology, cancer biology, or immunobiology. Application process: Interested applicants should
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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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of greenhouse gases (specifically methane) from vegetated wetlands, coastal systems, and inland waters, with a focus on advancing process-based science and informing strategies to reduce greenhouse gas emissions
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biology, immunology, or related fields. Application Process All applications materials should be submitted electronically to: Dr. Madhav Menon at [email protected] . Review of applications will begin
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, physics, or other quantitative disciplines), or expected within 6 months. Demonstrated experience in in vivo two-photon imaging using calcium indicators in mice. Strong quantitative and analytical skills
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compensation discussions are held with the faculty mentor during the reappointment process. We offer • Collaborative, interdisciplinary research environment both within Yale (Departments of Immunobiology and
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. The ideal candidate will have completed medical school and have a strong background in science, with university studies in biology, chemistry, physics, computer science, or similar fields, and an interest in
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uncertainties in warming feedbacks on methane, provide improvements that can advance a process-based understanding of feedbacks, and make connections with existing or potential mitigation interventions to reduce