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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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We are seeking a highly motivated machine learning/AI scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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A proven leader with a Ph. D. in machine learning, statistics, computer science, mathematical modeling, operations research, or related field computational chemistry, or other highly-technical fields from a recognized higher-education establishment.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$274,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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The Associate VP, Data Science uses mathematics, statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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CRA has an exciting opportunity for an enthusiastic senior scientist with expertise in maritime operations, data collection/analysis, uncrewed vehicles, sensing, perception, autonomy, simulation, machine learning, and/or computer vision to lead cutting-edge intelligent systems research and development applied to real-world challenges.
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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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Work cross-functionally with Machine Learning, Protein Sciences and Preclinical Discovery and Development groups to design proteins tailored for specific therapeutic programs. The successful candidate will work with the Machine Learning, Protein Sciences and Preclinical Discovery and Development groups at Generate:Biomedicines to develop, analyze and apply protein design protocols toward specific design objectives, incorporating both existing and new methods and models.
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3+ years of utilizing Python as a Computer Vision Engineer, Data Scientist, Machine Learning Engineer or similar disciplines. Prior experience building models and working with sensor data related to geospatial imaging, mapping, autonomous driving, robotics or similar.
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The successful candidate will be a creative and highly motivated scientist with demonstrated expertise in the fields of computational biology, machine learning, or related fields.
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Experience with machine learning tools and frameworks such as TensorFlow, PyTorch etc. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company.
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Engage in planning sessions in collaboration with other Educator-Advisors and STEAM technician/makerspace manager to prepare for learning experiences and reflect on learning (to inform lessons and curriculum planning.
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machine learning jobs Title: scientist Company: Pwc in Cambridge, MA
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