58 parallel-programming-"University-College-Cork" Postdoctoral positions at University of Washington
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periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD program and the Masters of Science program for Dental Hygiene. Our
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periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD program and the Masters of Science program for Dental Hygiene. Our
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related discipline involving the interrogation of ‘omics’ datasets, or expected to obtain a degree in the near future. Solid skills in at least one programming language (R, python, or Perl) and experience
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that complements or builds upon ongoing research directions within the DiRAC Institute. Those with innovative research programs and ideas involving first science with LSST are especially encouraged to apply
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omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience working in Linux and/or high
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expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with infants or young children is highly desirable. This will be a
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instruction, knowledge representation, retrieval and analysis, health professions diversity, public health informatics, health workforce projections, teaching and program evaluation and competencies for primary
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, advanced imaging) to uncover the cellular and molecular programs that drive tissue regeneration. The fellow will have the opportunity to work with small animal models and clinical specimens, translating
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beyond what is stated in the Required Qualifications section. Skills: Alzheimer's Disease, Artificial Intelligence (AI), C (Programming Language), C++ Programming Language, Collaboration, Computer
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regression models (e.g., SAR, LME) to derive ecological insights from big data sets. The project entails developing reproducible and scalable methodologies, using common software and programming languages