788 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Minnesota
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expected to acquire extensive training in either cryo-EM/ET or quantitative fluorescence imaging. They will join a strongly interactive, collaborative and collegial research environment. Minneapolis is a
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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classifications. Learn more about retirement plans . How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be
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website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: Competitive wages, paid holidays, and generous time off Continuous learning
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time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans
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, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
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expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our
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, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a
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Qualifications Previous data collection preferred but not required A valid driver’s license, reliable vehicle, current car insurance, and pass a driving record check. Pay and Benefits Pay Range: $20 per hour
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims