127 modal-analysis-machine-learning Postdoctoral positions at University of Washington
Sort by
Refine Your Search
-
/genomics Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications
-
Position Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
-
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
-
(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
-
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
-
, 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
-
experience unless stated elsewhere in the job posting. Skills: Biochemistry, Cellular Neurobiology, Collaboration, Data Analysis, Data Interpretations, Experimentation, Genomics, Laboratory Operations
-
, Computer Science, Data Analysis, Etiology, Exome Sequencing, GATK, Genetic Research, Linux, Neurodegeneration, PLINK (Software), Python (Programming Language), Statistical Genomics, Work Collaboratively Questions
-
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
-
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