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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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spirit to work as part of a research team, and an ability to work independently on these projects. Qualifications: • PhD with demonstrable experience in one of the following areas
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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
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; microscopes. Proficiency in Microsoft Office (ex: Word, Excel, PowerPoint), knowledge of statistical software, array analysis software preferred. Must demonstrate willingness to learn new techniques, procedures
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QUALIFICATIONS Education: PhD or Doctorate degree Medicine (MD) required Experience: No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies
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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