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Field
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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, and autonomy. You will join cross-disciplinary research teams working on prototype systems that integrate acoustic modems, sensor arrays, signal processing algorithms, and AI-enabled control
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with state-of-the-art computing and artificial intelligence is needed because the algorithms used to simulate and interrogate the dynamics for even one cell type – which can comprise billions
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will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
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. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse; exploring how AI and machine learning can support new models
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with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs. They should also demonstrate good judgment in selecting methods and
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algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with computer applications to
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, investigating how the rapid adoption of AI is transforming work, and how algorithmic decision-making shapes markets; gain exposure to and training in a broad set of research topics in economics and computer
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production