189 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" positions at Zintellect
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phenotyping using both drone-based and ground based sensing platforms. Learn artificial intelligence and machine learning techniques to analyze image and geospatial data from diverse sources for crop monitoring
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be four (4) years or less. Applicants may be a veteran, or separating veteran, of the United States Armed Services who has received their DD-214 no more than four (4) years prior to the start date
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conducts research on environmental health effects and aerospace medicine, addressing health and performance challenges faced by service members in operational military environments. About ORISE This program
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-property relationships, statistics and probability, applied mathematics, data science, or machine learning. Application Requirements A complete application consists of: Zintellect Profile Educational and
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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches
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computing facilities at the DOD Supercomputing Research Center. What will I be doing? This project will focus on learning, adapting, and applying US Army Corps of Engineers-developed or supported coastal
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, the participant will: (1) gain experience in computational modeling to optimize manufacturing high-purity reactive refractory metal powders, (2) learn advanced modeling methods based on density functional theory
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and stress), behavior (grazing behavior halters, accelerometer-based ear tags, chute velocity measures), environmental monitoring, and pasture measures. Learning Objectives: Under the mentor's guidance
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. Description The Office of Global Research (OGR), at the National Institute of Allergy and Infectious Disease (NIAID), National Institutes of Health (NIH), is seeking candidates who are interested in learning
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analysis of laboratory assay readouts, or processing and analyzing transcriptomics data (bulk or single-cell RNA-seq). Learning Objectives: Under the guidance of a mentor, the participant will have the