106 phd-scholarship-in-computational-material-science Postdoctoral positions at The Ohio State University
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in materials physics and defect properties Required Education: PhD in Materials Science and Engineering Required Experience: Experience with VASP and high-performance computing; A background in
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Biology Department: Medicine | School Biomedicine Science Physiology and Cell Biology Post-Doctoral Scholar to pursue specialized research training, education and experience under the guidance of a
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Biology Department: Medicine | School Biomedicine Science Physiology and Cell Biology Post-Doctoral Scholar to pursue specialized research training, education and experience under the guidance of a
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staff in other departments. Required: PhD in Biology Education Research, or PhD with a Major in related field with teaching experience. Experience with biology education research and teaching in biology
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with a major in mechanical engineering. Required Qualifications Expertise in the fields of turbulent flow dynamics, aeroacoustics, and computational methods; Strong written communication skills through
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Center Department: CCC | Comprehensive Cancer Center Position Summary This program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk
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departments, 17 centers, programs and institutes, and 7 basic science departments with a focus on biomedical informatics, immunology, microbiology, cell physiology, and pharmacology. In 2023, research funding
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assessment efforts among CLSE staff and with faculty and staff in other departments. Required: PhD in Biology Education Research, or PhD with a Major in related field with teaching experience. Experience with
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, and seminars; supervise Graduate and Undergraduate students in the laboratory. Experience and Qualifications Required and/or Desired PhD or equivalent degree required; experience in bioinformatic data
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in Mechanical Engineering, Materials Science Engineering, Physics or related field Desired Experience: An experimental PhD thesis and familiarity with laboratory environment and good practices in