128 modal-analysis-machine-learning Postdoctoral positions at University of Washington
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focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine
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Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing Questions For frequently asked questions about the
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-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Utilize follicle and ovarian culture, biomechanical analysis, transcriptomics, proteomics, histologic approaches
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). • Familiarity with cloud computing and machine learning techniques. Instructions Applications for this position should include a: (1) Curriculum Vitae with the names and contact information of 3 references (2
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function. Knowledge and/or experience in high dimensional and conventional flow cytometry. Mouse handling and tissue processing. Generation and analysis of bulk and/or single cell transcriptomic data
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section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory
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additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory
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. Analysis and write-up of papers from already collected-data, involvement in grant proposals, and other duties as assigned. Salary Range: Base pay is commensurate with experience. The above statements are
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section. Work Experience: Human Subject Research (1 Year) Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Human Subjects Research, Laboratory Operations, Laboratory Techniques
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in bioinformatics analysis is highly desirable. Excellent problem-solving and critical thinking skills. Excellent communication skills and ability to collaborate effectively within interdisciplinary