46 parallel-processing "Computer Vision Center" Postdoctoral positions at Michigan State University
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lake biota and harmful algal blooms at the continental scale (funded by the National Science Foundation). This postdoc will be at the center of a new initiative turning 51 years of Michigan lake and
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with the Quello Center for Media and Information Policy in the Department of Media and Information and the Future of Work Initiative in the College of Social Sciences at Michigan State University. The
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interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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element library FeNiCS, cardiac finite element modeling, medical image processing, and machine learning. The candidate is expected to possess excellent communication and written skills. Additionally
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modeling, medical image processing, and machine learning techniques. Excellent communication and written skills. Required Application Materials CV and cover letter Website me.msu.edu MSU Statement Michigan
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, disability or protected veteran status. Required Degree Doctorate -Chemistry, Computer Science or related field Minimum Requirements Ph.D. in Chemistry, Computer Science or related field. Computer
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bacteriome–trait relationships; Bacteriome GWAS Manuscripts, presentations, and mentoring students Coordinating sample processing of soil, leaf, stem nodule, seed, and root-zone microbiomes Equal
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considerations Using and developing data acquisition and signal processing software (LabVIEW, MATLAB, etc.), mainly for temperature and pressure data. Some familiarity with magnetic fusion energy Required
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bacteriome–trait relationships; Bacteriome GWAS Manuscripts, presentations, and mentoring students Coordinating sample processing of soil, leaf, stem nodule, seed, and root-zone microbiomes Equal
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demonstrable research capability. Desired Qualifications 1. Familiarity with packaging structures (corrugated boards, polymer foams). 2. Knowledge of nonlinear dynamics, signal processing, composite