128 multiple-sequence-alignment uni jobs at Michigan State University in United States
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-motivated as well as able to balance multiple tasks and deliver quality analysis within sponsor deadlines. Individuals will be expected to build rapport with faculty, departmental staff, and central pre-award
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multi-task and work on multiple projects at one time; demonstrated ability to make sound decisions in urgent situations; demonstrated ability to work with a diverse range of people; Understanding
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. The College and University also offer multiple opportunities for collaboration on projects focused on the health of our communities, including a robust Department of Public Health and nationally renowned
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qualifications for the position; b) statement of research and teaching philosophy highlighting how your experiences align with the position (2-page maximum); c) current curriculum vitae; d) a description of how
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your qualifications for the position b) a current curriculum vitae c) a statement of extension, research, and teaching philosophy and vision that highlights your experience and alignment with our
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of knowledge, backgrounds, and experiences. Our efforts are guided by a shared vision grounded in a culture of caring, belonging, transparency, and accountability. In alignment with the University's strategic
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Position Summary The JSRI Institute Director will guide the unit to align with the UOE and Michigan State University strategic plans (MSU 2030 and Diversity, Equity, and Inclusion). Primary
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community-partnered, equity- and policy-focused medical school department. The College of Human Medicine at Michigan State University (MSU) invites applications for multiple tenured full-time research
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Website https://comartsci.msu.edu/departments/communicative-sciences-and-disorders Department Statement The Department of Communicative Sciences and Disorders has active research laboratories and multiple
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, computational imaging, and theory. The position will work on multiple problems in these domains, to develop mathematical and algorithmic foundations for deep unsupervised learning for imaging with improved