62 parallel-computing-numerical-methods Postdoctoral positions at Cornell University in postdoctoral
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Engineering Education, STEM Education, Engineering, Computer Science, or a related field. Demonstrated expertise in quantitative, qualitative, or mixed-methods research methods. Experience with human subjects
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collaborative research efforts. 5% Professional Development. Requirements PhD Degree in computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years
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. Requirements PhD Degree in computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using
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Engineering Education, STEM Education, Engineering, Computer Science, or a related field. Demonstrated expertise in quantitative, qualitative, or mixed-methods research methods. Experience with human subjects
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their work at professional conferences. Mentoring (10%): Train graduate and undergraduate students in laboratory protocols and computational methods Personal and professional development (5%): Seek out and
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., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R
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microorganisms or environmental isolates Multi-omics techniques (e.g., transcriptomics, proteomics, metabolomics) Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques Analysis of next
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, embracing failure as a learning opportunity, and continuously enhancing our knowledge and methods to tackle local, national, and global challenges. The postdoctoral associate will work directly with both
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this by producing scientific, computational, and big data resources that transform how we understand and protect the world around us. CESN engages the public by gathering biological information at large
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, Urban Analytics, or related fields Strong expertise in transportation systems modeling and computational methods Demonstrated programming proficiency (e.g., Python, R, JavaScript, SQL) Experience working