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in machine learning or deep learning (experience with deep learning frameworks such PyTorch and TensorFlow is a plus). You have solid programming skills in Python. You have programming experience in C
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member of a team. Have good knowledge of public transit system or willingness to learn and teach. Be able to use computer to record services or be willing to learn. Preferred Qualifications Peer training
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research interests, career aspiration. Job Summary The Kaczorowski lab is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group
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or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
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Howard Hughes Medical Institute - Janelia Research Campus | Virginia Beach, Virginia | United States | 2 days ago
be part of a project at the intersection of protein engineering, evolution, and machine learning, which is part of HHMI’s AI for Science Initiative (ai.hhmi.org ). Our goal is to integrate
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, geospatial data, machine learning, or climate or hazard modeling is desired. Salary In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is hourly rate of $30, depending
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and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Hubbell Research Group focuses on developing cutting-edge biomaterials and
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related subject/area) and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology. LanguagesENGLISHLevelGood Additional Information
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, scikit-learn). Expert-level knowledge of data warehousing, database technologies (SQL/NoSQL), and data modeling for machine learning. Strong understanding of containerization and orchestration technologies
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MICADO (the first light instrument of the Extremely Large Telescope). The project provides a collaborative network, engaging with leading experts in optics, astrophysics, and machine learning from