34 parallel-and-distributed-computing-phd Postdoctoral positions at University of Maryland, Baltimore
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of Maryland-Baltimore as of June 1, 2018. MD, PhD or MD/PhD scientist is sought to join a laboratory at the forefront of academic drug discovery, cardiovascular biology and human induced pluripotent stem
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this research study by specially focusing on functional analysis of cancer-associated genes by using in vitro and in vivo models and developing cancer biomarkers. The candidates should have PhD or MD with strong
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Post-Doctoral Position - Oncology & Radiological imaging / chemistry - (210001I1) The position is for a PhD level individual with expertise in chemistry. Skill with nanoparticle design
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/ biochemistry at the PhD level are currently available at the University of Maryland, Baltimore in the Department of Diagnostic Radiology and Nuclear Medicine. Skill with nanoparticle design, construction, and
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characteristic protected by law or policy. Qualifications Potential candidates must be self-motivated, have an MD, DVM and/or PhD degree, and an interest in dedicating at least three years to this post-doctoral
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therapeutic drugs based on the disease mechanism. We are seeking highly motivated researchers with a PhD degree in related area, with an interest in developing animal models for human diseases and potential
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scientific research involving human cell lines, mouse models, and clinical samples. Interested candidates should email CV and contact information for three references to Valeria R. Mas, MS, PhD, FAST Professor
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, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI
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. Maintain inventory and order supplies Attend meetings Other duties as assigned Qualifications PhD or MD required Two years of post-degree experience with research background in flow cytometry, analysis
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are currently recruiting motivated Postdoctoral Fellows with a Ph.D., M.D. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who