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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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/quantum-circuit techniques and/or approximate tensor-network methods. Analytical skills with integrability, random-matrix theory, dual-unitary circuits, hydrodynamics, or field-theoretic methods are also
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part of a team including clinicians, neuroscientists, engineers and computer scientists, engaged with studying the early developing brain. The post holder must have a solid understanding of MRI
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immunocytochemistry, electrophysiology & live cells imaging. The aim of the projects is to approximate cellular phenotypes in an in vitro model of Bipolar Disorder (BD), & attributing abnormal network activity
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candidate will possess excellent research, communication, organizational and leadership skills, including detailed recordkeeping, computer literacy, scientific writing and the ability to contribute to method
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, ITLC, MALDI) as well as familiarity with antibody or peptide conjugation methods to allow facile radiolabeling with radiometals (can include: 89Zr or 177Lu or 161Tb, and/or 225Ac). Experience in running
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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer
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, ITLC, MALDI) as well as familiarity with antibody or peptide conjugation methods to allow facile radiolabeling with radiometals (can include: 89Zr or 177Lu or 161Tb, and/or 225Ac). Experience in running
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 minutes ago
Hiring Range $62,000 - $65,000, dependent on experience Proposed Start Date 01/05/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in
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on this position will be the development and implementation of novel statistical and computational methods with applications to system biology problems and spatial transcriptomics datasets. The work will involve