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Field
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virological and immune system-based research through long-standing community partnerships and clinical trials research, along with using laboratory models of virus infection. The successful candidate will work
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immunology and molecular biology techniques. Preferred experiences are with mouse models of kidney injury and microsurgical skills in particular. Successful applicant’s work will include investigation
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the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and
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demonstrate strong experimental skills or a background in modelling and analysis of molecular computation. Prior experience with DNA strand design or molecular computing is desirable. You should be able to plan
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from correcting disease-causing mutations, the potential of introducing protective mutations will be explored. These strategies will be evaluated on cellular and mouse disease models, in order to
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projects focused on studying the molecular mechanisms of arrhythmias with emphasis on conduction system diseases. To identify these pathways, the postdoctoral fellow will use mouse models for different
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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an excellent opportunity to further develop experience in in vivo modelling, molecular profiling, and drug testing, with access to state-of-the-art facilities and expert support. You will also benefit from
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular Virology and Microbiology Work Arrangement: Hybrid Location: Houston, TX Salary Range: Hiring up to $72,960 FLSA
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an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with