13 computer-vision-and-machine-learning Postdoctoral positions at Texas A&M University
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appointment) in a relevant field, such as geodynamics, seismology, geophysics, or computational science. Ability to sit for extended periods (e.g., 6–8 hours/day). Visual acuity to read computer screens and
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College 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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) years of related work experience. Experience developing machine learning methods. Experience writing, submitting, and editing peer reviewed publications. Expertise in computer science applications
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solving skills and a strong publication record are a plus Proficiency in statistics used in the life sciences is desired Experience in computer programming would be a plus Preferred Special Knowledge
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software skills in C++, python. Understanding of computing software development in the HEP environment, familiarity with machine learning (ML) techniques and experience with using ML software packages (e.g
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related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data bases, perform
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want The postdoctoral research associate will be working on developing machine learning/artificial intelligence algorithms for various applications, including energy systems, health systems, and marine
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information here ! PURPOSE We are seeking a highly qualified researcher with a strong interest in applied statistics, machine learning, and artificial intelligence, with a particular focus on time-series
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skills Excellent scientific writing ability and good communication skills Knowledge of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job
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physics, and ultrafast lasers. Knowledge of scientific programming language(s) and computer simulation. Salary: Compensation will be commensurate based on the selected hire’s education and experience