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Field
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint
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bootstrap inference for large datasets, variable-length time intervals and vectorised algorithms — and implement it in well-engineered, open-source R and Python packages (including SEQTaRget and pySEQTarget
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
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: Reinforcement Learning (RL) in Complex Environments: Offline and online RL with high-dimensional, unstructured variables, partially observed states, and hidden actions; New methodological and algorithmic
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Participates in patient rounds, conferences and committees Actively participates in the development and maintenance of patient management algorithms and standing orders. Documents patient care data in Epic in
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. Produce well documented code and electronic notebooks Research and recommend new algorithms and statistical approaches. Train other researchers on the everyday use of analysis software and research
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
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research on post-quantum cryptographic algorithms and protocols, assisting in the design, implementation, testing, and evaluation of secure cryptographic solutions resilient to quantum attacks, and
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structures, algorithms, computer architecture, operating systems and databases) to develop and write original software to meet research-based needs. Utilizes experience of scientific and mathematical concepts
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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in