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Field
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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through REST APIs, microservices architectures, containerization (Docker), and deployment within cloud environments (AWS, Azure, GCP) or high-performance computing (HPC) systems. Collaboration and
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, Presentations, and Manuscript Preparation Analysis of experimental results. The successful candidate will use different computer programs to analyze viral neutralization assays and antibody binding. Analysis
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quantification , differential gene expression (e.g., DESeq, edgeR), and differential splicing (e.g., DEXseq, rMATS). Pipeline development languages WDL,CWL, Nextflow. Experience in Google Cloud platform and AWS
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skills with experience in cloud data warehouse systems such as Snowflake and data preparation tools like Tableau Prep Experience with predictive modeling, machine learning, AI applications, and advanced
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Job Description This position will support the Transportation Data Equity Initiative project sponsored by the USDOT program for the Taskar Center for Accessibility (TCAT). This innovative data
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. Experience with Xilinx Zynq, Nvidia or snapdragon processors. Proficiency in developing, testing, and deploying software packages for edge, desktop, enterprise, and/or cloud computing platforms. Experience
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diseases. Additional details about the lab can be found at http://ismagilovlab.caltech.edu/ Essential Job Duties Assist graduate students, postdocs, and research staff with bioinformatics/computational
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with Adobe Creative Cloud, CAD-based programs, and Google Drive. Excellent interpersonal, oral, and written communication skills, close attention to detail, and strong organizational and time management
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-edge cloud ERP technology in a dynamic higher education environment. The successful candidate will join a collaborative ITS team committed to protecting university data while enabling institutional