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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other researchers at Princeton and other institutions
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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communication skills Ability to work independently on data analysis and research Ability to work well with a diverse team Knowledge, Skills and Abilities: Knowledge of quantitative analytic methods in biostatistics
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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the scope of microbial ecology, environmental microbiology, and bioremediation. Strong expertise in biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments
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the work undertaken with the project and submit them for publication Advise the PI on the integration of statistical analysis into the manuscript(s) Documentation (10%) Generate reproducible documentation
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Job Title: Postdoctoral Researcher – Energy engineering and monitoring of solar panel performance in semi-arid environments Duration: 12 months, renewable Position Summary: We are seeking a docotor
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: 6368658 Behavior Analysis & Clinical Science - 1 Year Post-Doctoral Fellowship Job no: 493822 Work type: Faculty (Non-Tenure Track) Location: Orlando, FL, Winter Park, FL Categories: Health Professions
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silico work, including sequence design, data analysis, experimental planning, and writing publications. The postdoc will work closely with the PI and a PhD student. An ideal candidate must hold, or be