104 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" research jobs at University of Minnesota in United States
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% of eligible tuition Student loan forgiveness opportunity Opportunities for growth and promotion Employee Assistance Program For more information regarding benefits: https://humanresources.umn.edu/sites
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theory. Demonstrated experience with finite element methods, including model development, implementation, and validation. Proficiency in scientific programming, with experience in one or more languages
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Code 9516 Employee Class Student Insurance Eligible Add to My Favorite Jobs Email this Job About the Job The University of Minnesota Medical Student Anesthesia Research Fellowship (UMN-MSARF) program
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Qualifications: PhD in computational genomics Experience with: • Computational and bioinformatics • Machine learning and statistical modeling • Programming and data infrastructure • Experimental and Field Methods
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: Familiarity with theoretical population models Some experience with programming in R Some knowledge of jellyfish and fish Pay and Benefits Pay Range: $16.00/hour - $17.00/hour depending on education
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Strong organizational abilities Computer proficiency and experience with basic software including MS office programs (e.g., Word, Excel, Powerpoint); ability to learn new software programs as needed
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programming languages Experience working with ecological, surveillance, or species occurrence datasets Record of peer-reviewed publication Ability to manage multiple projects and collaborate across
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opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible
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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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%) Code in Matlab or other program for stimulus generation, presentation, and analysis, as well as data analysis. (25%) Prepare data for publication and presentation via peer-reviewed journal articles and