491 quantum-computer-"https:"-"https:"-"https:" Fellowship positions in United States
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- Harvard University
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- Carnegie Mellon University
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- Office of Women's Health Grant Program (OWH GP)
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Field
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Qualifications: Familiarity with teacher professional development or professional learning research. Familiarity with sociocultural frameworks. Background in computational or systems thinking in educational
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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(yes, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological
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Gyn), hyperthermia, and GammaPod™ stereotactic radiation therapy system for early-stage breast cancer. Trainees entering the program will have varying background and comfort levels with advanced
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and observational data from space-borne missions (most notably Kepler and TESS); be proficient in computational astrophysics, astrostatistics, and/or exoplanetary science; participate in Departmental
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of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject
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old by time of application. Those already in graduate school may apply for fellowship support to continue that study, provided you have not yet begun your third year of your graduate program by
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and observational stellar astrophysics, computation astrophysics, astrostatistics, and/or exoplanetary science. Teach 2 sections of the Mendel core science courses or labs per semester (currently “How
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brain disorders using human genetics, single-cell and spatial genomics, human pluripotent stem cells, and computational biology. Ongoing NIH-funded studies apply these approaches to psychiatric disorders