57 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Texas A&M University
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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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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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other duties as assigned. Qualifications: Appropriate PhD A well-qualified candidate will also possess: PhD in nuclear physics or nuclear chemistry or a closely aligned field. Ability to acquire new
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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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for conducting field, laboratory, and/or computer modeling studies to address research questions in the Geological and/or Geophysical Sciences. The Postdoctoral Fellow will organize, analyze, and synthesize data
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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. Embracing
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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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review process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and working environment by promoting
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, archives, and archaeological sites to retrieve samples. Support the PI in the preparation of reports and publication of data findings Qualifications PhD in Anthropology Ability to travel extensively
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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