64 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL" PhD positions in United States
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are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and
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, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires
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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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value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our
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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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, 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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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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, 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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/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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, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other