183 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions at University of Minnesota
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Previous Job Job Title Research Assistant or PhD Candidate Research Assistant Next Job Apply for Job Job ID 369568 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time
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Previous Job Job Title PhD Candidate TA - NSC 5661 Next Job Apply for Job Job ID 369157 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time Regular/Temporary Regular Job
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Previous Job Job Title PhD Candidate TA - NSC 5461 Next Job Apply for Job Job ID 369156 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time Regular/Temporary Regular Job
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
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, presentations and final exams; Submit final grades; Courses may be offered online or in person Qualifications Required Qualifications: PhD degree in the mathematical sciences or a related field Experience
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provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
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determined at time of hire, following assessment of skills/experience. Required Qualifications Earned doctorate (DNP, PhD or International equivalent), or comparable qualification. For RNs, licensure in MN by
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. Work will be directly supervised by the PI. Qualifications All required qualifications must be included in the application materials Required Qualifications: PhD in pharmacology-related discipline