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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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PhD in bioinformatics, computational biology, immunoinformatics, statistics, computer science, machine learning, physics, or a related field (PhD students in the last year of their thesis work, are eligible to apply.
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This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. 4+ years experience in computational linguistics or language data processing.
$84,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prior experience working in a makerspace or design and fabrication studio, or in an active learning environment is a plus. Build and maintain a network of connections with similar makerspace facilities, surrounding machine shops, and other hands-on spaces on campus.
$64,000 - $89,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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I'm working with a pre-clinical biotechnology company revolutionizing the field of antibody discovery through the integration of cutting-edge machine learning (ML) platforms. Job Description: As a Principal Scientist, Antibody Development, you will play a pivotal role in driving our antibody discovery programs from conception through to preclinical development.
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As a Software Engineer on our Learning team, you will be building out interactivity and interoperability features to give learners the best-in-class experience. Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement , backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price.
$78,600 - $135,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They are passionate about creating cutting-edge technology that integrates advanced robotics, artificial intelligence, and machine learning to solve real-world problems. Experience with finite element analysis (FEA) and computational fluid dynamics (CFD) tools.
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Experience in robotics-relevant fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Work on topics in robotics-relevant fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems.
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Relevance Tuning: Continuously tune relevance algorithms in Solr and Hybris using machine learning and AI to ensure high-quality search results tailored to user behavior and preferences.
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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. There will also be opportunities to analyze these and other large-scale genomic datasets using deep learning to interpret genetic variants found in patients.
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Frontier leverages data and AI as a core pillar of our value creation strategy, fueled by unique data coming from our R&D labs and specifically our mass spectrometry powered chemoproteomics platform machine learning has impact on everything we do.
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Job Summary: The Data Scientist will be an MEng, PhD, or someone with similar educational or work experience who has both conceptual/theoretical and practical/hands-on expertise in data science, artificial intelligence, machine learning (includuing deep learning), and related areas and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, and entrepreneurial acadmic setting.
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Familiarity with machine learning models and statistical packages such as PyTorch, TensorFlow, Scikit-learn, etc. Work with central risk book team focused on global equity trading operations.
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Strong computer vision and machine learning background and fluency in standard domain libraries (numpy, opencv, pytorch) Develop and evaluate machine learning and computer vision techniques for object detection and tracking.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Company: Facebook in Waltham, MA
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