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with biological specimens Experience with artificial intelligence and machine learning analytical methods How to Apply Submit application package as a single document to: [email protected]
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analysis, trial emulation, interrupted time series, machine learning) is highly desired Have a strong publication record in reputable, peer-review journals Excellent oral and written communication skills
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analysis, trial emulation, interrupted time series, machine learning) is highly desired Have a strong publication record in reputable, peer-review journals Excellent oral and written communication skills
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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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or geophysics Machine learning and artificial intelligence particularly natural language processing Experience with databases and data wrangling The salary range for these positions located in the Department
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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
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Cognitive Sciences Health Research Human-Computer Interaction Machine Learning Machine Perception, Speech Technology and Computer Vision Mobile Computing Natural Language Processing (including Information
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within
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a PhD in Electrical Engineering, Computer Engineering, or a related field, with expertise connected to the jobs summary. Preference will be given to candidates with experience in combining theoretical
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compound extraction and purification from various systems (desirable) HPLC, LC-MS, GC-MS, TLC skills (desirable) Good basic bioinformatic and general computer skills, and proven ability to learn and apply