54 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at University of Washington in United States
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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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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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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, Experimentation, Flow Cytometry, Immunohistochemistry (IHC), Informatics, In Vitro Assays, In Vivo Assays, Laboratory Operations, Laboratory Techniques, Molecular Biology, Omics, Python (Programming Language
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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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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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infant development. We seek a motivated researcher with expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with
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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