23 postdoc-molecular-dynamics-simulation Postdoctoral positions at University of Miami
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genome editing Previous work-related experience including molecular biology, gene therapy, and a background in experiences with animal sensory evaluation both in physiology and histology The University
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subseasonal precipitation forecasts. The postdoc will be working to develop a real-time forecasting tool to improve U.S. Week 3-4 precipitation forecasts with innovative data science methods to provide
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Isla Mar Research Expeditions, aims to characterize mesophotic fish assemblages in Puerto Rico. The postdoc will play a crucial role in implementing and interpreting environmental DNA (eDNA) experiments
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translation to developing new treatments for patients with cancer. Main laboratory experiments are molecular biology, gene-editing, transgenic animal models and drug sensitivity/resistance screening
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Postdoctoral Researcher position in AI and machine learning, with a focus on patient-specific reconstruction of coronary vessels and the simulation of stenting techniques using Finite Element Analysis (FEA) and
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, molecular genetics and bioinformatics, as evidenced by publication record preferred Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Biochemistry & Molecular Biology has an exciting opportunity for a Post Doctoral Associate position
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also required. The successful applicant will be highly skilled in molecular biology techniques (PCR, Western blot, DNA and RNA isolation etc) and cell culture. Knowledge on Flow cytometry and other
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boards. A strong background in image processing, optics, and astronomical telescope principles is desired. The postdoc will work closely with Prof. Chirayath to advance and test several novel technologies
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molecular biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems