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We are looking for a researcher with a strong understanding of ML theory and who is skilled in developing novel deep-learning approaches to drug discovery and development. Drug Discovery/Development experience developing new ML and deep learning approaches.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadership We'd love to find someone who is.
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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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You will be part of the AI team at VideaHealth, where you will closely work within the team of Machine Learning engineers on a well defined project that is focused, dependent on the candidate, around Deep Learning or Data Science.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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State-of-the-art Phillips 7700 3.0 Tesla MRI with ultrafast MR imaging supported by deep learning (AI) reconstructions, an additional 3.0 Tesla magnet and a new 1.5 Tesla MR (all Phillips.
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Knowledge and experience with analytic tradecraft, the intelligence cycle, open-source intelligence-gathering techniques, and strong intelligence writing skills, techniques, and methodologies.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. Advanced degree (PhD or MS) in Computer Science, AI, Machine Learning, or a related field.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Signal Processing: Experience with radar signal processing techniques, DSP algorithms, and Machine Learning is preferred. SoC Experience: Practical experience in developing software for embedded System-on-Chips (SoC) such as ARM, NXP, and Microchip.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working closely with Associate Professor Jessica Lasky-Su, and Research Operations Manager will be responsible for integrating multi-omic data (genomics, epigenetics, proteomics, transcriptomics, metabolomics, electronic health record data) from both clinical data and research population, using advanced computational methods such as deep learning.
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Machine Learning Engineer / Python / PyTorch / TensorFlow / Computer Vision / MLOps / Deep Learning / AI. A pharmaceutical company based in Boston are looking to expand their AI team with a Senior Machine Learning Engineer.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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