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of methods, materials and equipment used in the laboratory activities is highly desired. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
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immunohistochemistry to uncover cell-cell interactions and immune neighborhoods in the tumor microenvironment. The project has a strong translational component focusing on the development and implementation of novel
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. Required Qualifications* Graduation from high school or an equivalent combination of education and experience is necessary. Progressive knowledge in methods, procedures, materials and equipment of designated
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include as a page of your resume document. Job Summary Job description: We are seeking a research assistant for mixed methods research studies with legal system providers. The ideal candidate will
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the timeframe specified. Responsibilities* Objective grading and the recording of student assessments as directed by the course instructor, following the instructor's prescribed methods and required response time
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Leave Responsibilities* Operate machine shop equipment including engine lathes, vertical milling machines, CNC milling machine, drill presses, offhand grinder and disc sander, sheet metal forming
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principled entrepreneurship is fostered. Responsibilities* Serve as the assistant to the french horn faculty; teach French Horn Freshman Seminar class (fall only); assist with the Horn Methods Class for Music
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interpersonal communication skills in both written and spoken formats. Capacity to interact and work with different constituent groups including, students, staff, and faculty. Administrative skills including
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, arrest record, or any other factor where the item in question will not interfere with job performance and where the employee is otherwise qualified. The University of Michigan agrees to abide by
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in an area of considerable scope and complexity, in which existing theory or methods may be limited or lacking. Identify and select problems to be studied. Perform experiments, collect and analyze data