219 proof-checking-postdoc-computer-science-logic positions at Case Western Reserve University
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features. Correspond with patrons and international library lenders. Resolve missing ILL shipment problems. Provide advanced knowledge of the functional area policies and procedures through a variety of
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Interprofessional Scholars Collaboration in Teaching and Learning Program. Actively contributes to creating a dynamic environment for faculty engagement and teaching recognition, including the Scholarship in Teaching
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checks for all lab students or employees working with drugs on a regular basis as required by regulations and university rules. (17%) Immigration: Serve as a Designated School Official (DSO) and Alternate
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to support leadership in problem solving, program improvement and to increase the overall success of priority fundraising initiatives for the university. (70%) Contribute to the design of sophisticated and
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program and 2 to 4 years of experience required. Previous experience working with animals and skills in routine cell and molecular biology are preferred. REQUIRED SKILLS Has knowledge of commonly-used
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Date: June 13, 2025 Title: Postdoctoral Scholar Department: Mechanical and Aerospace Engineering School: Case School of Engineering Location: Glennan Building Start Date: September 2025 (or as soon
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of related experience with Bachelor's degree). Vendor certifications, Computer A+ certification highly desired. Other technology certifications may be desired after hire. Valid Ohio driver's license with a
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the hormonal control of the process and timing of birth. The research assistant will use methods in cellular and molecular biology, protein chemistry, and whole animal physiology. The research assistant will
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specializes in developing systems biology tools to study biological processes important for human health, including inflammation, host immunity, and the microbiome. We are a highly interdisciplinary team of
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to computational and/or systems biology including Multiomics. REQUIRED SKILLS: Strong background in one or more areas of machine learning (Bayesian networks, neural networks, Markov Models, convolutional networks