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intersectionality, and inclusion of underserved populations (men, students with disabilities, LGBTQ+ students, and students from immigrant communities). Excellent verbal communication skills. Interest in learning
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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compliance, if applicable). Does this position have supervisory responsibilities? No Preferred Education/Experience Bachelor’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering
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transfer the methods to innovations in close collaboration with Aker BP and/or Equinor. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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experience with the integration of computer technology into instruction. Strong communication, organization, interpersonal, and counseling skills Willingness to travel and teach among four campus sites and
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. The applied practice faculty (APF) member will facilitate student learning and competency development through clinical hands- laboratory instruction (hands-on skill development, simulation) and hospital-based
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and potentially group therapy. The majority of individuals receiving services at the PSC have Autism, ADHD, and/or Learning Disorders (LD), with some also presenting with acquired neurological
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to appropriate coaching approaches and the use of data to inform the coaching process. This person must be able to independently assess practices and procedures, establish protocols for analyzing student learning
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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teaching methods and strategies to engage learners, organize and plan instructional content that accommodates diverse learning styles, and devise appropriate assessment tools that monitor student learning