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the production of the CBC catalog. The successful candidate is expected to have strong analytical skills and experience with signal processing, Bayesian statistics and machine learning. Exemplary
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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer
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. Werner. The objective of this work will be to support a large multidisciplinary team effort focused on the design, modeling, and fabrication of advanced RFIC Phased Array Antenna Systems (Ka-Band and W
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, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in statistics/biostatistics, computer science
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problems. Research experience with a track record of published work in relevant scientific journals. Excellent communication, teamwork, and problem-solving skills. Proficiency in programming languages
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computational analysis of molecular and cellular biology data. Expertise in Python and/or R. A demonstrated ability to conduct independent research as demonstrated through a strong track-record of peer-reviewed
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a track record of communicating research through peer-reviewed publications, conference presentations, and technical reports. The successful candidate will also have opportunities to contribute to new
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collection with 357 families, providing rich data for follow up analyses and publications. Data from this study include EEG, eye-tracking, observed social behavior, and parental report The postdoctoral
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methods, risk and reliability, stochastic control processes, dynamic programing, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong
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-paired taste cue (i.e., conditioned withdrawal) to track the development of addiction in the most vulnerable male and female rats and to test the hypothesis that engagement of, not only reward substrates