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                your cover letter, including which Shima Seiki machine you operated, how long have you worked with the machine, and for what purposes/projects, PhD degree in Computer Science, Electrical Engineering 
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                , how long have you worked with the machine, and for what purposes/projects, · PhD degree in Computer Science, Electrical Engineering, Information Science, Mechanical Engineering, Human-Computer 
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                Postdoctoral Associate - Transdisciplinary Agroecology - CALS - Department of Global Development Postdoctoral Associate - Transdisciplinary Agroecology Seeking a postdoctoral associate with PhD research and 
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                Agroecology Seeking a postdoctoral associate with PhD research and training in social science fields related to transdisciplinary agroecology, such as critical agrarian studies, sociology, political ecology 
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                Postdoctoral Associate – Transdisciplinary Agroecology - CALS - Department of Global Development Postdoctoral Associate – Transdisciplinary Agroecology Seeking a postdoctoral associate with PhD 
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                health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine 
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                a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should 
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                % Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of 
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                , and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in 
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                conditional on satisfactory performance and funding. Requirements PhD in quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with