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regression analysis or machine learning Drive and enthusiasm to both lead and work as a team member with a collaborative group. Effective oral and written communication, analytical and interpersonal skills
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, with an emphasis on microbiome and metagenome analysis. R and/or Python skills. Experience with statistical analyses, including logistic regression analysis or machine learning Drive and enthusiasm
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analyses, including logistic regression analysis or machine learning Drive and enthusiasm to both lead and work as a team member with a collaborative group. Effective oral and written communication
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Science, AI, Data Science, Statistics, Economics or a related field, with a focus on artificial intelligence, machine learning, or human-computer interaction. Proven experience in conducting independent
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that change! Qualifications The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area. The successful candidate is expected to develop
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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
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area