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experience in cell culture work, molecular biology, and preclinical tumor models. Successful candidates will be highly motivated individuals with a doctoral degree in Neurology, Oncology, or Immunology, have
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experiments. This is part of projects that address the role of non-coding elements of mRNA and the molecular basis of "ultra-low" gene expression noise. Techniques will include PCR, cloning, bacteria and yeast
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dynamics, and the synthesis of simulation and field observations, all while interfacing with other team members who are developing the simulation models, managing the sensors and recording the field data
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on performance, possible transition to graduate school will be highly encouraged and supported. Required Qualifications BS or MS in microbiology, biochemistry, molecular biology, or related field; previous work
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tissue culture, cell-based assays such as cell viability/toxicity assays, molecular biology assays such as plasmid transfection, viral transduction, or western blotting, imaging studies such as confocal
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foundation of the Center for Ecosystem Forecasting. This stack includes: software to simulate individual-based models of phytoplankton; machine learning models to predict water quality dynamics; automated
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Sinorhizobium meliloti. Typical duties include analysis of genomic and RNA seq data, molecular modeling of protein structures and protein-protein and protein-ligand interaction, preparation of federal grant
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molecular biology and biochemistry. The research assistant will be responsible for performing tissue culture and basic molecular and biochemical lab techniques (PCR, immunoprecipitations, western blots) and
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establishing the forensic molecular laboratory alongside partners in Botswana in particular development of next generation sequencing applications, microsatellite genotyping, and associated bioinformatics
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atomistic models of condensed-phase systems. - Intermediate to advanced knowledge of molecular dynamics software packages. - Experience with programming/scripting post-processing analysis tools for large