1,369 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" Postdoctoral positions in United States
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Field
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multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ
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. The appointment will be housed in the Division of Life Sciences; courtesy cross-appointments with other units on campus may be possible. The chosen candidate will be expected to undertake a programme of research
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. Postdoc Scholars may also be eligible for retirement savings and tuition programs. For program details and eligibility, please visit https://hr.gwu.edu/postdoc_benefits. II. POSITION INFORMATION Posting
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to apply; however, the greatest interest is for applicants with interest in one or more of the following topics: complex dynamics, computability in dynamical systems, smooth ergodic theory, symbolic dynamics
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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of History and the Cogut Institute for the Humanities at Brown University invite applications for a two-year appointment as Mellon Postdoctoral Research Associate in the History of Computational Technology
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at Princeton University.To apply online, please visit https://www.princeton.edu/acad-positions/position/37121 and submit a cover letter, CV, Research Statement, Publication list and contact information
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for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values. Why Work at Michigan? In addition to a career filled with purpose and
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generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Connections working at Princeton University More Jobs from This Employer https
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop