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Applicants should possess a PhD in a relevant discipline (computer science, machine learning, epidemiology, electrical engineering, or applied mathematics) and have established an excellent research profile in signal processing or machine learning.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
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Qualifications: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum chemistry software (e.g. Quantum Espresso, PySCF, GPAW), fluency with electronic structure theory and quantum chemistry, experience with machine learning regression methods.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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We are seeking a highly skilled and motivated Computational Biologist to join our innovative team, focusing on image analysis, machine learning, and data visualization applied to Stellaromics' cutting-edge STARmap and RIBOMap technologies.
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Job Description MIT Lincoln Laboratory seeks a highly motivated, detail-oriented, curious and driven physicist, applied physicist, or researcher in a related field with hands-on lab experience.
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FL94 is seeking a hands-on,n experienced, creative, and visionary Machine Learning Lead. Demonstrated mastery of a broad array machine learning and deep learning approaches across a variety of deep learning architectures, deep learning libraries, and cloud-computing development environments, with an emphasis on ML techniques for studying small molecule drug development (particular attention paid to candidates with deep Graph Neural Network experience.
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We are looking for an individual with three to five years of hands-on experience in battery research and development, possibly gained during a doctorate degree. Machine learning data set design or optimization.
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The Intelligent Process Automation (IPA) intern will be a resource within the Global Investment Support Intelligent Automation Program and will provide support on robotics process automation (RPA) and machine learning initiatives.
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Proven experience in AI, machine learning, or data science, with a focus on applications in drug discovery, bioinformatics, or healthcare. Hands-on experience with AI/ML tools and techniques in computational drug discovery.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Fidelity's Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/ computational linguistics, and machine learning are strongly encouraged to apply.
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Competitive Pay: $22.00 - $24.00 based on Applied Behavior Analysis (ABA) therapy experience and RBT Certification. Provide one on one in-home Applied Behavioral Analysis (ABA) therapy to children who have Autism.
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Strong technical credentials in NLP, machine learning and deep learning including a track record of publications in relevant conferences and high impact journals. The Machine Learning Researcher will join our Fundamental Research team and report to our Chief Data Scientist.
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