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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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, Dbase). Computer programming capability, including CATI programming software (especially for remote work), is an advantage. · Experience in statistical analyses. · Supervision skills and
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, unsupervised, and deep learning. Proficiency in appropriate model selection; simpler or complex models, depending on the data. Ability to work effectively within diverse, multidisciplinary teams of faculty
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
the learning experience and to integrate a variety of approaches and perspectives into instructional methods and research tools. We are particularly interested in candidates who will develop new opportunities
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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/Experience Deadline to Apply Open Until Filled Yes Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live
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, diverse, and inclusive learning and working environment that honors the talents, respects the differences, and nurtures the growth and development of all. We seek to attract faculty and staff who share our
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Science, or related field; expertise in additive manufacturing, materials design, or AI/ML; strong publication record. Preferred: Experience with TensorFlow, PyTorch, or Scikit-learn; materials characterization