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relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker assessment, and ambulatory behavioral assessments
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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often complex problems and opportunities that define our lives. Since our foundation over 60 years ago, we have aspired to be a different type of university. Over the years, we have grown to become
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research integrating AI with geoscientific applications. - Commitment to excellence in teaching and mentoring. Desired: - Experience with machine learning, deep learning, or other AI techniques applied
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dimensional information, classification and/or deep learning methods may also be developed. In addition, the complementarity between the different data sources used (particularly between aerial LiDAR data and
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to ensure an adequate deep bench within the department. Required Qualifications High School diploma or GED. 2 years of relevant experience required. Experience utilizing Microsoft Office. Desired
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community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to
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and a hold a global reputation for sporting excellence. With an atmosphere of determination, ambition, and desire to make a difference, our collaborative environment inspires both staff and students
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plan: The work consists of developing models for the prediction of biological control agents (BCAs), using different approaches: Machine Learning (random forests, support vector machines, lasso), Deep
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to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep