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Field
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philosophical research into the nature of mathematical understanding, including, depending on their interests, conducting psychological experiments, developing novel mathematics, inventing new algorithms, and
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relevant research techniques and methodologies Strong publication record commensurate with the applicant’s career stage. Algorithmic and model development skills, and a familiarity with relevant machine
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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psychological experiments, developing novel mathematics, inventing new algorithms, and making new philosophical arguments. Publish and share this research with the wider academic community. Help organize, once
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. Research experience in relevant research techniques and methodologies 3. Strong publication record commensurate with the applicant’s career stage. 4. Algorithmic and model development skills, and
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-oriented interfaces is desired.; In parallel, we intend to explore new optimizations, such as data deduplication, support for multi tenancy, and new scheduling algorithms. These optimizations should be
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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mathematics, while abstract mathematical concepts generate fresh insights into algorithms and discretization techniques – critical for numerical computations and simulations. This convergence signifies a
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees