16 machine-learning-phd Postdoctoral research jobs at Texas A&M University in United States
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journals Experience conducting and coordinating field work Experience mentoring undergraduate and graduate students Experience with machine learning, phylogenetics, molecular sexing techniques, and
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: Appropriate PhD Required Knowledge, Skills, and Abilities: Expertise with cell biological methods and approaches Extensive expertise with laboratory animals is not required, but a strong desire to learn and
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Station, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives
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Station, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives
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. Utilizes state-of-the-art methods in data science, optimization, and machine learning algorithms to coordinate the translation of data produced by the multi-disciplinary research projects into useful
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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cooperatively with others Preferred Education and Experience: Excellent programming, communication, and writing skills Previous research experiences in modern statistics, machine learning, and statistical
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Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences
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.) Functional Area 2: Data Analysis Percent Effort: 30% Job Duties Build species distribution models for focal SGCN’s to inform research and conservation strategies. Use machine/deep learning approaches
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived