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Build and lead the data science team translating small molecule and proteomic drug discovery challenges into breakthroughs via deep learning applied to computational chemistry. This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) We are seeking a highly motivated machine learning/AI scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization.
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PhD in applied mathematics, computer science, physics or other quantitative disciplines with a strong focus on machine learning and deep learning. Demonstrated mastery of a broad array of deep learning architectures with emphasis on transformer-based models and graph neural network architectures (transformer-VAEs, BERT, GPT, T5, Perceiver, GCN, GAT, MPNNs.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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Proven experience as a machine learning engineer or similar role. This person will work closely with our technical and research teams to develop training and deployment pipelines, implement model compression algorithms, and productize deep learning research.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs.
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The Specialized Products & Advanced Research Capabilities (SPARC) Group is seeking a Principal Machine Learning Researcher to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security.
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You will collaborate with company advisors from MIT and Harvard whose expertise span machine learning, medical imaging, and getting products successfully through FDA. We are looking for an individual with an exceptional Machine Learning background and track record of proven delivery who is not shy to take on extensive responsibilities.
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Experience in applying deep learning methods that relate protein sequence, structure, property, or function (e.g., structure prediction, annotation, novel or variant sequence generation, property prediction, de novo design, directed evolution, etc.
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Full Time] Junior Machine Learning Engineer at Nextera Robotics (United States) | BEAMSTART Jobs. Junior Machine Learning Engineer. Machine Learning Operations (MLOps) Nextera has an list client base including Dunkin Donuts, Tesla, Gilbane Building Co., and other Fortune 500 companies.
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AI & Computational Sciences, Novartis Biomedical Research Leadership Role in Chemistry-based AI/Machine Learning. AICS is seeking a highly motivated and experienced leader in the field of Chemistry-based AI/Machine Learning to drive the frontier of drug discovery.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning.
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Solid understanding of machine learning methods, ideally deep learning, with experience using at least one of the following frameworks: Pytorch, TensorFlow, JAX. PRINCIPAL DUTIES AND RESPONSIBILITIES: In order of importance, list essential areas of responsibility, major job duties, special projects and key objectives for this position.
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Should have a strong background in at least one of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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learning job Title: principal Company: Commscope in Cambridge, MA
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