947 web-development-"https:"-"https:"-"https:" Postdoctoral positions in United States
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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. Train, schedule, and supervise student workers/assistants supporting lab operations. Ensure IRB and human-subject compliance for lab-based research procedures and documentation. Report to the faculty
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Description Duties/Responsibilities : - Develop and conduct research activities on novel genetic technologies capable of influencing the transmission of engineered transgenes in insects. Duties will include
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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webSTAIR, and 2) develop independent research skills in preparation for a career in academia, industry, or clinical research. Mentor/PI: Deleene Menefee, PhD Research Focus: PTSD treatment outcomes for Women
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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project(s), troubleshoot issues, present their work and train other lab members as part of their postdoctoral training. Adheres to University and unit-level policies and procedures and safeguards University
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on developing a new hybrid light–matter platform that couples transition metal complexes with optical microcavities to achieve optical control over ultrafast spin conversion and charge transfer
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical