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(see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Research and explore the model design space for vision foundation models
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Primary Work Address: 19700 Helix Drive, Ashburn, VA, 20147 Current HHMI Employees, click here to apply via your Workday account. TLDR: Build the model backbone for the next era of AI-powered
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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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will involve training deep learning models to compress raw data into structured feature spaces required for downstream surrogate modeling. Qualifications Education and Experience: Undergraduate student
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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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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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appropriate study models on indicated patients; 8) Explain treatment alternatives to patients; 9) Record specific treatment performed on patient chart, as well as other patient information as needed; 10) Expose
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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime (posted 2026/02/19 05:00 AM
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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
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 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