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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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presented by the applicants, and the detailed description draw up for the position. A copy of the assessment report will be sent to all applicants. The applicants who are assessed as best qualified will be
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our lab facilities, also incorporating theoretical models of complex flow. Fieldwork is planned in collaboration with a non-profit organization in Morocco, providing opportunities to test the concepts
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. Computational modeling in wastewater treatment processess. Qualifications Applicants to the PhD position must have a Master’s degree (120 ECTS) or equivalent higher education qualifications in Engineering
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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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only). Scanned copy of the PhD diploma or documentation of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted). References. Letters
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/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with commonly used programming languages in the field (Python, MATLAB, IDL
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. The project explores how entangled social, political and environmental processes shape change. We are especially interested in the non-linear processes of change which are not factored into existing models