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Field
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sciences, who ad- dress key issues in AI such as reproducibility, safety, trustworthiness and robustness, and who engage with the theoretical and algorithmic foundations of AI. A strong commitment to
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. Without these guarantees, the algorithms will remain limited to experimental testbeds. The aim of this project is to address this limitation by combining the complexity of deep-learning control policies
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existing literature to address this gap. The student tasks will be to prepare the registration documents (e.g., PROSPERO), refine and test the search algorithm in relevant databases, import search results
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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, especially algorithms and computational complexity. Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology, biostatistics
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Infrastructure? No Offer Description Mission: Research and develop robotic perception algorithms that allow obtaining a 3D representation of complex environments; monitoring and presentation of results. Functions
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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative
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optimization of dynamic, uncertain, and multiscale systems. Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools. Support project-based learning
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programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries. System software stack