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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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Panda Intelligence is currently representing a novel oncology-focused Biotech with roots in MIT and one of the most prominent tech accelerators in the US, with the team currently seeking a Senior Computational Chemist with machine learning expertise ahead of advancing their AI-driven small molecule drug discovery pipeline.
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The Role:The Cambridge Rindge and Latin School, in partnership with the Health and Physical Education department, seeks a Health Education Teacher for the 24-25 School Year. The teacher will report directly to the Coordinator of Health, Physical Education and Wellness and to the principal of the school or small learning community administrator to which she is assigned, as well as to the CRLS PE/Health Lead Teacher.
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5 plus years of experience in machine learning, computational biology, bioinformatics, systems biology. PhD in Computer Science, Physics, Mathematics, Bioinformatics, Machine Learning, Data Science, or relevant fields.
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Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras) Experience with machine learning, specifically in time series domains.
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In collaboration with the Senior Director of Clinical Services and Social-Emotional Learning and other OSS leaders, develop and implement programs that support students’ academic and social-emotional learning.
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Lead the development, implementation, and operations of HR software systems, including Workday, SAP Success Factors Learning Management System, Veeva Learning, Tableau analytics, and AWS-based data analytics and repository layer.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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REQUIRED : Ph. D. in supply chain management, logistics, transportation, operations management, industrial engineering, operations research, computer science, information systems, business management, or related field; in-depth research knowledge/experience in one or more of the following: data-driven logistics/supply chain, supply chain analytics, statistical analysis and probability, and/or machine learning/artificial intelligence; publications.
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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery.
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Experience in Machine Learning / Artificial Intelligence algorithm clinical performance validation. An MD, PhD/MS Degree in Biomedical science, Epidemiology strongly preferred. 7+ years’ experience in clinical research/development/real world evidence (RWE) function; (medical devices preferred.
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Job SummaryThe Fabrication Manager, Teaching and Learning plays a critical role in promoting an inclusive and supportive learning environment at the Science and Engineering Complex at Harvard's John A. Paulson School of Engineering and Applied Sciences.
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machine learning jobs Title: engineer Company: Autodesk in Lexington, MA
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