294 parallel-and-distributed-computing-"Meta"-"Meta" positions at SUNY University at Buffalo
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commitment, welcomes all to apply including veterans and individuals with disabilities. Minimum Qualifications Master’s degree in Library or Information Science from an ALA-accredited institution or equivalent
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to work independently and in a team setting is required Preferred Qualifications Strong project management experience and analytical skills. Strong computer technology skills. Physical Demands Salary Range
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directly related to the research or the program. US graduate with a BA or BSc in Biology, Chemistry, Physics or Neurosciences. Preferred Qualifications Experiences in conducting scientific research preferred
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Qualifications Bachelor of Science in Microbiology or a related field, and one year of experience directly related to the research or the program. Preferred Qualifications Prior experience working with rodents
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Service Employee Association- Partnership (NYS CSEA-P) Applied Skilled Trades Certificate Program*; or an equivalent combination of experience gained by completion of appropriate technical courses at a
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Leadership (PAL) program is a structured two-year experience, offered through the University at Buffalo’s School of Pharmacy and Pharmaceutical Sciences (SPPS) Department of Pharmacy Practice (PHM
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disabilities. Minimum Qualifications A doctoral degree from a Council on Accreditation of Nurse Anesthesia Educational Programs (COA) accredited Nurse Anesthetist Program: Doctor of Nursing Practice (DNP
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Position Summary As a Research Technician I you will perform routine tasks to support and directly assist a research project or program. Tasks may include: Care and maintenance of apparatus and equipment
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, ensuring lab safety, maintaining instruments, and updating inventory. The ideal candidate will also participate in the design and execution of wet lab experiments and/or computational analyses and is
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doctorate degree in bioinformatics or a related field and strong expertise in oral health research and/or cancer biology, as well as strong statistical, machine-learning, data science, and computational