757 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at The University of Chicago
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Department PME Immunoengineering About the Department The Pritzker School of Molecular Engineering (PME; https://pme.uchicago.edu/) was established in May 2019 and evolved from the Institute
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, graduate students and various administrative offices at all levels of the University. Work under pressure of scheduled assignments. Computer knowledge and skills. Excellent written, verbal and organizational
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, proteomics and genetic data. Assist in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA, RNA, and protein sequences). Produce
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at https://crownschool.uchicago.edu/. Job Summary Reporting to the Senior Associate Dean of Administration, this job provides specialized financial knowledge and breadth of expertise to enable unit leaders
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environment. Technical Skills or Knowledge: Working or educational knowledge of digitization best practices, including digital photography, Adobe Photoshop, etc. Strong computer skills with the ability
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ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's
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, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information
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or other electronic health record (EHR) systems, including electronic remittance modules. Proficiency in Microsoft Office (Word, Excel). Learn and use position-related software applications, including
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support, including the creation and refinement of instructional materials, exam logistics, grading workflows, and technical support for learning platforms (e.g., Canvas), to ensure smooth instructional
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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners