63 machine-learning-phd Postdoctoral positions at Texas A&M University in Ireland-University-Ranking-2024
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(cleaning, inventory, ordering supplies, etc. Continuing Education: Attend seminars and related learning opportunities. Qualifications Required Education: Appropriate PhD in veterinary medicine or biomedical
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Glimpse of the Job The Postdoctoral Research Associate will perform independent research activities requiring an advanced level of knowledge in a field of science or learning. This work is predominantly
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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, talents & lived
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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University safety requirements. Machines and Equipment: Operational knowledge of laboratory equipment for mechanical testing of concrete materials Operational knowledge of equipment for 3D Printing of concrete
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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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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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students working on research related to the project. Promotes a safe, compliant, and collaborative learning environment within the research group. Actively participates in the preparation of required
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and assistance to other laboratory team members. Act as a mentor to students. Maintain laboratory instrumentation and follow applicable safety standards. Qualifications: PhD in Chemistry or related
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research. Contribute to research proposals. Mentor undergraduate and graduate students. Analyze and submit work in peer-reviewed journals and at conferences. Qualifications PhD in Astronomy, Physics