35 computational-biology-physics-training "https:" Postdoctoral positions at Rutgers University
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) and shotgun metagenomic datasets. Integrate microbiome datasets with metabolomics and other omics data using advanced computational and statistical approaches. Develop, implement, and maintain
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Experience Minimum of PhDs degree in life sciences or related field (such as neuroscience or cell biology). Prior experience with molecular biology techniques, such as qPCR and RNA preparation, is required
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required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope alignments, data acquisition, image processing and structure calculation using
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high throughput sequencing and structural biology. Background in skull-based neurosurgery. City: Newark State: NJ Physical Demands and Work Environment: Physical Demands: Standing, sitting, walking
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desirable. Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Computer data input required
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Education and Experience: Ph.D. in Molecular Biology, Cellular & Molecular Physiology, Pharmacology, or an equivalent field. City: Newark State: NJ Physical Demands and Work Environment: PHYSICAL DEMAND
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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Experience Requires a doctorate in biochemistry, molecular biology, or an allied field. Requires in-depth understanding and hands-on experience in preparation and analysis of proteins, nucleic acids, and
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contributing to the writing and production of such proposals as well as the presentation of results at scientific meetings. 10 % 2. Train and oversee undergraduate researchers within the lab on related projects