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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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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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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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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Summary: This position is for a statistical programmer in genomics (PI: Dr. PingHsun Hsieh, the Department of Genetics, Cell
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nuclei related to deep brain stimulation surgery. Responsibilities: • 25% - Work with members of the Harel lab to develop code for deep learning algorithms • 25% - Write Python code for data augmentation
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candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states
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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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. Broadly, we are interested in understanding the evolution and genetic basis of human disease. For this purpose, we analyze large amounts of genomic and phenotypic data that requires writing computer
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various lab materials to ensure efficient functioning of the lab. Qualifications Essential Qualifications: PhD in biology, genetics, cell/molecular biology, biochemistry, or related fields is required. Pay