874 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" positions at University of Minnesota
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing
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Previous Job Job Title Post-Doctoral Associate in AI for Genetics Next Job Apply for Job Job ID 368882 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job
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Previous Job Job Title Interdepartmental Undergraduate Program Coordinator Next Job Apply for Job Job ID 369489 Location Twin Cities Job Family Administration-General Full/Part Time Full-Time
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Previous Job Job Title Program Editor Next Job Apply for Job Job ID 369492 Location Twin Cities Job Family Marketing & Communications Full/Part Time Full-Time Regular/Temporary Regular Job Code
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Previous Job Job Title Rsch Pro 2-Genetics/Cell Bio Next Job Apply for Job Job ID 368981 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary Regular Job Code 8352GC
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Previous Job Job Title Mentor (Temp) - STEERR Program Next Job Apply for Job Job ID 369405 Location All Other -See Job Description Job Family Supplemental Employee Full/Part Time Part-Time Regular
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are interested in understanding the evolution and genetic basis of human disease. For this purpose, we analyze genomic and phenotypic data that requires writing computer programs that can read and wrangle various
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Previous Job Job Title Occupational Health Program Specialist Next Job Apply for Job Job ID 369553 Location Twin Cities Job Family Campus Operations Full/Part Time Full-Time Regular/Temporary
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Previous Job Job Title Rsch Pro 1-Informatics Next Job Apply for Job Job ID 369865 Location Twin Cities Job Family Research Full/Part Time Part-Time Regular/Temporary Regular Job Code 8351IF
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Previous Job Job Title Research Professional 5-Genetics/Cell Bio/Perlingeiro Lab Next Job Apply for Job Job ID 367232 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular