123 modal-analysis-machine-learning Postdoctoral positions at University of Washington
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking
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(or similar) data analysis. The candidate will work closely with an international team led by Dr. Kristin Braziunas and Prof. Brian J. Harvey at the University of Washington and Dr. Judit Lecina-Diaz
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based on predictions from statistical and machine learning models Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria
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extensibility. The ideal candidate for this position will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following
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, including any previous postdoctoral experiences. Each applicant will be expected to submit: A CV including demonstrated scholarly output (e.g., publications, presentations, data analysis, code) Cover letter
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for this position. More About This Job Required Qualifications: Strong background in Immunology and bioinformatics, including first-author original publications. Expertise in analysis of genomic datasets. Strong
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, and data science. -Advanced microbiome analysis techniques. -Community-engaged research methodologies. -Grant writing and research development. -Mentoring undergraduate and graduate students. -Access
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certification unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations
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work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results
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Scholar appointments to a total of five years, including postdoctoral experience(s) at other institutions. The University of Washington and the International Union, Automobile, Aerospace and Agricultural