22 parallel-processing-bioinformatics Postdoctoral research jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
process documentation with appropriate traceability and quality controls. Conduct dimensional and functional evaluations; establish acceptance criteria and drive iterative improvements. Implement surface
-
of scholars, we prioritize in our hiring process the selection of candidates who will be active contributors to supporting that type of environment within the school and university. Applicants should
-
addition to this load, successful candidates are expected to conduct research in collaboration with CMU-Q faculty or local partners. We are particularly interested in candidates in the areas of Computer Systems
-
Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
-
timely sources of data to understand the labor impacts of AI. The researcher will deploy an empirical approach to measure and better understand the relationship between business processes and technology
-
through their work. You should demonstrate: Strong foundations in manufacturing, microfabrication, and microfluidics, extensive experience in experimental design and process development, and hands
-
supervisors or instructors. Additional Information Target start date: August 1, 2026 (negotiable) Term: One year, with possible renewal pending satisfactory performance Review process: Applications will be
-
, background in neuroscience. Candidates should have prior experience with electrophysiology, behavioral analysis, and stereotaxic surgery. Additional experience in computational methods and programming (Python
-
spectrometry, including instrument operation, troubleshooting, and data analysis, are required. Experience with LC-HRMS and/or GC-HRMS are preferred. Other desired skills include experience with independent
-
language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and