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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
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and with this GSI position. Please include your University Program and year in graduate studies. Course Description CSC 275 - Problem Solving and Programming II CSC 175 with a grade of C (2.0) or better
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) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills before transitioning to independence within academia or bio-pharma industry. Transferring
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to facilitate a multifaceted Digital Scholarship Fellows program. This program, which will comprise student, faculty, and community fellows, will offer a way for the Digital Scholarship program to meet existing
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complex statistical computations; Organize data for the preparation of proposals for new funding; Develop experimental procedures and test controls; Specific activities are dependent upon the faculty
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required, Masters degree preferred. Will consider candidates with PhD degrees 1-5 years of lab research experience preferred, will consider entry-level or more experienced candidates. Experience with bench
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* Bachelors Degree is required. 1-3 years of experience in a related field. Masters Degree preferred. Desired Qualifications* PhD in Pharmaceutical Sciences with experience in analytical chemistry 3 - 5 years
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: Graduate of Instrument Processing Program including completed externship OR Instrument Processor II: Certification Graduate of Instrument Processing Program including completed externship Minimum 1.5 years
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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
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robust mathematical thinking: solving problems creatively, asking why and collaborating with others. All program participants have been application vetted. Instructor duties include: Facilitating small