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Field
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technologies, and circular economy. The primary objective of FAST is to establish the scientific and technological knowledge base required to enable the large-scale use of post-consumer scrap (PCS) aluminium in
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a relevant Master's degree in chemical engineering, process engineering, industrial engineering, energy engineering, or a closely related field. Your course of study must correspond to a five-year
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. Mobility declaration" - "4. Motivation Letter" Eligibility (MSCA Doctoral Network rules) Applicants can be of any nationality. Must not have resided or carried out a main activity in the host country
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work duties after employment. Required selection criteria You must have a relevant Master's degree in biology, aquaculture, marine biotechnology or equivalent. Your course of study must correspond to a
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-position's main objective is to qualify for work in research positions. Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above
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. Required selection criteria You must have a relevant Master's degree in Chemical Engineering or equivalent focused on hydrometallurgy. Emphasis in hydrometallurgy is desired. Your course of study must
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employment. Required selection criteria You must have a relevant Master's degree in engineering, applied mathematics, physics or or equivalent. Your course of study must correspond to a five-year Norwegian
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or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but the master's degree must be obtained and
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academic rigour and professional relevance. Our programmes range from bachelor's to master's and PhD programmes. BI is also known for its many customized executive education programmes. BI boasts some of
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the maritime value chains. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive