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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
projects are the analysis of gene expression patterns in malignant human tumor samples mostly coming from clinical trials and preclinical model systems, and on the continued development of genomic-based
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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. This includes conducting finite element modeling, ship resistance and stability assessments, as well as overseeing AM process and reporting. The role also involves designing and validating connectors
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colleagues that are very strong in AI and computational modelling of energy materials, and we are building labs for autonomous materials development. Large facilities, such as synchrotron and neutron
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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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the size of the high-level waste storage facility. The transmutation of MAs can be carried out in subcritical accelerator-driven fast neutron reactors (ADS) dedicated solely to transmutation. In
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translational projects employing single-cell sequencing, immune profiling, transgenic models, and molecular biology to uncover pathomechanisms and therapeutic targets in arthritis, osteoporosis, intervertebral
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staffing model and is particularly vulnerable to the administrative hurdles frequently encountered within the university, such as those related to purchasing, hiring, and enrollment. This role is critical
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to treatment. The lab has a strong translational focus that bridges human subjects research and mechanistic molecular and cell biology using appropriate models. This position, which includes close scientific and
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word