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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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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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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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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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Johnson & Johnson Innovative Medicine is currently seeking a Postdoctoral Scientist, Deep Learning / Machine Learning to join our In Silico Drug Discovery team. The ideal candidate will have a strong background in deep learning and machine learning, with a keen interest in applying these skills to drug discovery.
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Stay abreast of the latest developments in data science, bioinformatics, and machine learning, and integrate relevant methodologies into research projects. Expertise in statistical analysis, machine learning, and data visualization.
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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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Machine Learning Engineer, Generative AI Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. As a Machine Learning Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry.
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This is a unique opportunity for you to work with cutting-edge technology development initiatives within the AbuGoot lab, focusing on stem cell biology, regenerative medicine, gene therapy, cell therapy, and advanced machine learning approaches.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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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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Strong machine learning experience is preferred. Develop AI/ML models, knowledge graphs and NLP pipelines; incorporate computational strategies with graph-neural networks, deep learning, multimodal fusion, transformer models, transfer learning, contrastive learning as appropriate.
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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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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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Contribute to an innovative culture that strives for out-of-the-box thinking and creative approaches on analytical solutions beyond traditional models in the area of data science artificial intelligence, machine learning methods, algorithms/model development, validation and tools to drive impactful business decisions.
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machine learning jobs Title: therapist Company: Swell in Boston, MA
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