1,324 parallel-processing-bioinformatics positions at University of California Davis in United States
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The Department of Electronic and Computer Engineering at the University of California, Santa Cruz (UCSC) invites applications for an ongoing pool of Assistant Adjunct Professors, Associate Adjunct
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Actions Home Help Job Description More Actions UC Davis Health Careers Sign In New User Previous Job Job Title Hand Surgery/ED Surgical Services Nurse Practitioner I/II 2-PCS Nurse Practitioners Next Job
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Previous Job Job Title Operating Room RN (CLIN NURSE 2) - Same Day Surgery Center Next Job Apply for Job Job ID 77679 Location Sacramento Full/Part Time Full Time Add to My Favorite Jobs Email this Job Job
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, functional genomics, and epidemiology. The APS will create and implement genome engineering and bioinformatics tools for generating and analyzing isogenic cell lines. This includes planning, executing, and
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and team leads, the IT Support Specialist provides second-tier computer workstation and IT services support onsite at Aggie Square. Provide support for computer hardware and peripherals, Windows and
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provide technical support for supported systems. Plan, design, test, debug, implement, maintain, secure, troubleshoot and document systems and processes in accordance with client and/or department timelines
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in the implementation of database, software and computing solutions to meet scientific and administrative computational needs of life sciences research and education at UC Davis. Maintain computer and
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quality control analyses of recovered data using bioinformatics approaches. The selected candidate must be able to learn new techniques and implement protocols with attention to detail and to participate in
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for quantitative analysis. Experience using Gas or Liquid chromatography with mass spectral detection for quantitative analysis. Skills in the operation and maintenance of chromatographs and mass spectrometers. Key
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multiple genotyping platforms including SNP arrays and genotyping by sequencing and other sequencing methodologies. Knowledge of the scientific disciplines of genetics, molecular biology, and bioinformatics