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for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as part of a degree program. In particular
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of these small molecules by identifying their cellular targets using cell biological and biochemical approaches. Second goal is to utilize CRISPR/Cas9 genomic engineering technology to examine the impact of
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published scientific paper. Experience in the analysis of genomics data and next-generation sequencing library preparations such as RNA-seq, ChIP-Seq, are preferred. Any skills with CRISPR genome engineering
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possess strong communication and organizational skills. Qualifications a..Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is
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data and next-generation sequencing library preparations such as RNA-seq, ChIP-Seq, are preferred. Any skills with CRISPR genome engineering technologies will also be valued. Student mentoring and
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will have experience/interest in vascular and microvascular biology, ECM biology, ECM biomaterials, 2-D and 3-D human cell culture, collagen and elastin biology, vascular tissue engineering, RNA and
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PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance