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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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networks. Understanding of the software development cycle (SDLC) and experience applying it to research or educational software projects. Experience with -omics data analysis, AI-based computational modeling
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an outstanding clinical urology team with the goal of defining the underlying biochemical and clinical behavior genitourinary disorders to identify new strategies that will lead to durable clinical
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supervising defined research projects according to the PI’s instructions. Presents outcomes of these research projects at departmental events, national and international conferences and in the form
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with Dr. Emily Becker and the NOAA Climate Prediction Center. Key responsibilities Train neural networks and quantify uncertainty to evaluate predictability Perform explainable AI (XAI) related research
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: bioinformatics, computational biology, data science, biostatistics • Working proficiency in appropriate programming languages and software (eg. R, Python) • Excellent oral and written English
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judgment in making critical decisions. Experience with serological techniques (gel electrophoresis, Western blot, ELISA), PCR, flow cytometry Department Specific Functions Work with the PI to define areas
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of brain health and neurodegenerative disease. The post-doctoral fellow will be trained in a holistic manner by the faculty, to succeed as an independent scientist as well as help train the fellow to define
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk