52 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Oslo
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Postdoctoral Research Fellowship at the University of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency during their fellowship period
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international mobility for students and staff Run hybrid symposia and hands‑on workshops Develop virtual -enhaced tools and MOOC‑based learning Build a global, interdisciplinary network focused on big‑data AMR
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research fellows are expected to submit a career development plan, specifying career goals and the competencies that the postdoctoral fellow should acquire, no later than one month after commencement of
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or Danish) must acquire Norwegian skills equivalent to A2 during the employment period. Tenured as well as Tenure-track Associate Professor positions require proficiency in Norwegian equivalent to B2 (Common
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for a period of four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description / Job description The NorFab
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of training material (e.g. e-learning material) Responsible for feasibility studies and initial process development supporting the industry and the NorFab community. This also includes developing industry
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specific obligations to teach students at the professional program on topics covering clinical neuropsychology, including theory, assessment, practical applications, and interventions. The candidate will
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competence and experience, including a reflection note in which your own practice and learning vision is anchored in the SoTL criteria described as keeping a focus on student learning, students’ development
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at the time of employment must acquire this within the first two years after their appointment. The Department will support this certification (e.g., coverage of the costs of the courses at the University
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invited for a full-time one-year position as Data Scientist with genuine interest for Artificial Intelligence and Education in the project "Learning Analytics Infrastructure (LAI): Infrastructure for data