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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
If you experience any problems accessing the system or have questions about the application process, please contact the University’s Office of Postdoctoral Affairs at (919) 962-9982 or send an email to
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical
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of your thesis. Experience of working with optimisation methods, long-term modelling of the forest landscape and its ecosystem services, as well as computer-based decision support systems in general
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
about the application process, please contact the University’s Office of Postdoctoral Affairs at (919) 962-9982 or send an email to [email protected] . Please note: The Office of Postdoctoral Affairs will not
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pipelines for 16s rRNA and WGS sequence data from pathogens. Advanced computer programming skills in R and Python and preferably also other languages and demonstrated proficiency in UNIX, shell scripting
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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processes, and Storage solutions. Successful candidates will have the opportunity to engage in cutting-edge research aimed at developing innovative strategies for reducing carbon emissions and promoting
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/ contrast agents Signal processing or computational imaging Demonstrated research productivity (e.g., peer-reviewed publications) Strong communication and teamwork skills Preferred Qualifications Experience
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Qualifications: Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application Strong