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Keep up with the latest advancements in machine learning and computational biology, introducing innovative approaches to the team and the scientific community. Extensive hands-on experience with deep learning tools and libraries such as TensorFlow, PyTorch, or JAX.
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NewYork-Presbyterian Hospital is an equal opportunity employer. “Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group. This is a per diem position located at our Columbia campus, working on an as-needed basis.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks, and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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And it’s your opportunity to enjoy flexible scheduling, shared clinical decision-making, inspirational leadership, supportive colleagues and work on B & B Robotics & OB. CRNA's perform regional anesthesia.
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Their Austin office is a hub for innovation, with a focus on machine learning, big data, and cutting-edge research infrastructure. We are seeking a Senior-level Machine Learning Performance Engineer for a critical role, leading an AI initiative with substantial influence on the firm’s trading systems and strategies.
$1,000,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. New York City (Hybrid On-Site): $181,000 - $181,000 for Data Science PhD InternSan Francisco, California (Hybrid On-site): $191,000 - $191,000 for Data Science PhD Intern.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
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Good Shepherd Services is an equal opportunity employer that is proudly committed to becoming an anti-racist and multicultural organization that stands up for justice and equity. Additional Information Good Shepherd Services is an equal opportunity employer that is proudly committed to becoming an anti-racist and multicultural organization that stands up for justice and equity.
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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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The postdoctoral scientist will lead an exciting project that combines cutting-edge statistical methods, machine learning, biophysical modeling and our understanding of cancer, with an opportunity to test and validate their findings in the wet lab in collaborations with the rest of team and labs at NYGC. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment.
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Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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