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Presentation assessment rubric with automation of reports for Director and letters for students. Provides administrative support with PhD program and report requests, including but not limited to, accreditation
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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comparative genomics, chromatin architecture, gene expression, protein abundance, and metabolite profiling—combined with computational biology, machine learning, and advanced statistical methods. Supported by
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at https://jobs.rutgers.edu/postings/120405 and must submit a letter of inquiry to: Marco Zarbin, MD, PhD, (Phone: (973) 972-2038; E-mail: zarbin@rutgers.edu). It is university policy to provide equal
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methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and academia. The candidate
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Associates and PhD students. We are particularly interested in candidates who bring expertise at the intersection of artificial intelligence, machine learning, and criminology. The successful candidate will
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FAST-TRACK – Fast Alloy Screening for Next Generation Aerospace Superalloy Development EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute PhD Research
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Posting Close Date 05/01/2026 Qualifications Minimum Education and Experience Candidates should have a PhD or ABD in Criminology, Criminal Justice, or a related field. Prior undergraduate teaching
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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. Were seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modelingintegrating first-principles simulations with machine learningfor chemical and