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), RTOS (Real Time Operating System), etc. An understanding of data structures and algorithms, along with concepts such as big-O algorithmic time and storage complexity Working knowledge or familiarity with
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result in well-written code, with clear software implementation of algorithms, which is easy to test, enhance and maintain Poor judgement can result in damage, lost observing time and sensitivity, delays
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and improve performance Conducting neural recordings and stimulation in behaving monkeys. Programming in MATLAB or Python for data analyse Adapt and improve the machine-learning algorithm to the new
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to present complex data in an accessible and actionable manner. Develop and apply machine learning algorithms to analyze data and extract meaningful insights. Implement real time monitoring and processing
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and classical machine learning (ML) methods with practical experience designing, training, and validating such algorithms. Experience building scalable, optimized scientific software, and knowledge
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, including algorithms, complexity, cryptography, and logic. The candidate's qualifications, experience and overall market demand will determine a candidate’s final salary offer. The salary for this position
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candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond