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coordinating the living/learning community and undergraduate nursing events. Participate in ongoing training in all aspects of academic advising, including the use of technology and data management systems
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
environment. The full job description is available, here: https://drive.google.com/file/d/14vuatOC6NKg9w4j91r_Zb6KF8lTxUoe5/view?usp=sharing Job Requirements REQUIRED: A PhD in neuroscience, computer
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for teaching courses to which he/she has specific training or competence. Plans, organizes, teaches, and provides feedback to students to promote and direct student learning in either a classroom, remote via
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activity is aimed at developing tools based on machine learning techniques for the automatic analysis of privacy policy pages. CUP: B83C24003210001 Where to apply Website https://xup.di.uniroma1.it
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“Incarico di Ricerca”, ai sensi dell'art. 22-ter della Legge 30 dicembre 2010 n. 240. IEIIT Sede di Bologna – CUP B53C24007690006 e CUP B53C25006000005 Where to apply Website http://www.ieiit.cnr.it
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students who would like to teach our first-years students and help them to integrate in the university. Do you want to make the difference for our students? All first-year students will be enrolled in
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performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 10/4/2026 Closing Application Date 16/4/2026 OLFM Type Regular Non-Continuous
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
in Canada, our students are exposed to a broad range of health topics and learning experiences. The School of Nursing’s Strategic Plan, which aligns with that of the Faculty of Health and Dalhousie
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental