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Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
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Represent Gilead externally at scientific meetings, advisory boards, and through high impact presentations, publications, and other scientific communications. This leader will develop and maintain collaborative relationships with other executives, leaders, and stakeholders in the Gilead Research and Development organization, including members of Medicinal Chemistry, Protein Therapeutics, Structural Biology, Drug Metabolism and Pharmacokinetics, Toxicology , Oncology Biomarkers, and Oncology Clinical development.
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Publications in premier machine learning, deep learning, and computer vision journals and conferences. Document and disseminate research findings through high-caliber publications and/or patent submissions.
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Prior research publications in the machine learning/deep learning fields demonstrating deep understanding of the space. Successful candidates will have deep understanding of machine learning and deep learning concepts, a familiarity with common modern models (in particular in the LLM space), and the ability to understand the mathematical foundations behind them.
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Experience creating complex CAD models in CATIA V6 quickly and efficiently while holding CAD part, tree, links & publications to an excellent standard. Manage system, subsystem, and component information in the Enovia PLM and Catia V6 environment.
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Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, ICASSP, NAACL), or Machine Learning (NeurIPS, ICLR, AAAI.
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You will play a key role in delivering innovation in digital health domain, create technologies and intellectual properties, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues.
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Accountable for providing scientific input and biomarker expertise across all aspects of early development plans and collaborations (such clinical protocols, sample collection tables, sample collection instructions and logistics, scopes of work, data transfer agreements, validation reports, study reports, central lab logistics, posters, publications, investigator brochures, INDs, regulatory documents, etc.
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Preferred QualificationsPh. D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields. First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL.
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Strategic Leadership in HEOR: Spearhead the formulation and execution of comprehensive Health Economics and Outcomes Research (HEOR) strategies, initiatives, and publications. Ensure the timely delivery of HEOR findings through publications and presentations at leading scientific conferences, thereby contributing to the broader scientific community.
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Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
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As Co-Founder and Chief Financial Officer you will play a crucial role in building and running Quantum Equilibrium Science Fintech company. As Co-Founder and Chief Financial Officer you will play a crucial role in building and running Quantum Equilibrium Science Fintech company.
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Track record of first author research publications at top-tier machine learning or robotics conferences. Our team has deep cross-functional expertise across simulation, perception, controls, and machine learning, and we measure our success in terms of fundamental capabilities development, as well as research impact via open-source software and publications.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Publications in Machine Learning and LLM are preferred. MS degree with 2+ years of experience or PhD in Computer Science or related majors with in-depth knowledge of machine learning technologies (LLM/Recommendation System/Advertising Algorithm/NLP/CV.
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publications job Title: desk chief Company: Sarasota Herald Tribune in Palo Alto, CA
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