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courses or 8 credit hours annually. Candidates are encouraged to develop new courses aligned with their expertise, particularly in big data management and analysis, data visualization, or machine learning
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of computer algorithms/code related to simulations, data analysis, visualization and dissemination in support of space physics research. Job Duties 65% Implementing, testing, editing and running simulation
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ticket queue and monitoring the Data Infrastructure ecosystem as well as efforts to modernize our operations. These efforts include leveraging automation, infrastructure-as-code (IaC), and machine learning
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or senior author on reports, manuscripts, and conference presentations. Provide intellectual leadership in the integration of AI and machine learning approaches for image/data analysis. Establish new
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machine learning approaches. Qualifications Successful candidates will be expected to maintain a strong externally funded research program. Teaching responsibilities include existing undergraduate and
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Transformation DNA purification Digest verification PCR DNA extraction Computer: Demonstrates experience with: R Studio Microsoft Office FileMaker Pro Bioinformatic analysis tools (NCBI, ExPASy, etc.) Qualtrics
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equipment using computer monitoring system. Take meter readings and complete daily log sheets timely and accurately. Clean and adjust fuel oil strainers, tanks, and related equipment. Make basic computer
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primarily onsite at the Arboretum’s Chaska Campus. Hybrid options may be considered based on responsibilities, seasonality, and team needs. Key Responsibilities: Computer and Audio/Visual Equipment Support
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Administration - Design, lead, supervise and conduct research in data science and machine learning - Be the primary writer on research manuscripts and presentation development. - Lead grant proposal preparation
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, or a related technical field. ● Strong programming skills in Python, Java, etc. ● Expertise in machine learning, neural networks, and deep learning ● Excellent writing and communication skills ● Highly