351 engineering-computation-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including
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review board (IRB) and other regulatory documents. Co-author project-related scholarly and other outputs. Co-develop training materials and recordings the suicide prevention training program. Participate
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Qualifications Master’s degree from a recognized graduate art conservation education program, with a demonstrated concentration in photograph or paper conservation, or equivalent combination of education and
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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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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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scientific environment at University of Maryland, Baltimore and surrounding institutions such as school of e engineering at college park offers ample opportunity for productive collaborations. We expect
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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