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job funded through the EU Research Framework Programme? Other EU programme Reference Number 17343 Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for
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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Computer Science - 318400 Posting Open Date 06/16/2026 Application Deadline 09/14/2026 Open Until Filled No Position Type Postdoctoral Scholar Position
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Who We Are Born from a bold experiment that united technical innovation with a deeper understanding of the interplay of technology with humanity, the Cornell Ann S. Bowers College of Computing and
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of patients with ocular diseases. This position will use specific computers programs to extract relevant clinical variables from the EPIC electronic health record, clean and organize the data in a format to
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Scheduled Hours 40 Position Summary Our laboratory aims to develop innovative computational tools/methods and utilize advanced single-cell (epi)genomic techniques to gain a comprehensive
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computational analysis of ongoing research projects focusing on the function of transcription factor (TF) networks in mediating cell fate transitions at the early stages of oncogenic transformation as
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dissemination of findings, and mentorship of students and research personnel. This position provides expertise in biomechanics, motion analysis, computational modeling, and statistical methods while contributing
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of Cardiology at The Heart Institute, Stony Brook University Hospital, seeks a full-time academic clinical cardiologist to lead an outpatient-based Urgent Cardiac Consultation program. This role is designed for a
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, and mentorship of students and research personnel. This position provides expertise in biomechanics, motion analysis, computational modeling, and statistical methods while contributing