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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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the range of social, formal, environmental, political, and aesthetic concerns that form the framework of contemporary and historical perspectives regarding architecture and urban issues. Design Design efforts
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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waters specifically; Develop research questions, research designs, and appropriate methods for conducting empirical investigations related to community resilience and transboundary waters; Develop
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in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as
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levels, and knowledge of university policies and procedures is desired A fully prepared candidate for this role will present: Background in research methods and/or clinical settings. Experience using MS
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collaborative team Write manuscripts for publication Present research at internal and external meetings Required Qualifications* PhD in Cognitive Science or a related field Ability to work with complex clinical
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supply ordering Coordinate the collection and analysis of data and the conduct of experimental procedures Required Qualifications* PhD Exceptional written and verbal communication skills and ability
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quantitative data analysis software such as SPSS and Microsoft Excel Must have the ability to work independently on projects Demonstrate the ability to respect confidentiality Modes of Work Hybrid - The work