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Eligibility Candidates with Norwegian citizenship or international citizenship. Candidates must be admitted to the BI-Luiss Joint Master’s in Marketing programme Candidates must have a minimum
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international education will have their grades converted to the ECTS scale by BI Norwegian Business School. Applicants who apply to and receive an offer of admission to the Master in Finance degree at BI
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considered. Applicants with international education will have their grades converted to the ECTS scale by BI Norwegian Business School. Candidates must be admitted to a full-time master’s degree at
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considered. Applicants with international education will have their grades converted to the ECTS scale by BI Norwegian Business School. This is an entrance scholarship for candidates admitted to the
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, Environmental Engineering, Maritime Engineering, or a related discipline. • Good programming skills in Python. • Experience in data analysis, scientific computing, modelling, or software development
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Engineering, Maritime Engineering, or a related discipline. Good programming skills in Python. Experience in data analysis, scientific computing, modelling, or software development. Knowledge of techno-economic
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identification through a structured literature review. Under the guidance of our researchers, you will re-implement and evaluate selected reference methods from current research (e.g. in Python or MATLAB
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advantage, depending on the specific thesis topic: Python-based implementations, including data structures, machine learning libraries, mathematics, and statistics Security monitoring technologies
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across research, clinical, and operational domains Apply strong proficiency in Python and machine learning frameworks to build a platform that ensures reproducibility and scalability of advanced ML/AI
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. Preferred Qualifications Experience in an academic library. Experience with library assessment and accreditation reporting. Experience managing budgets and purchasing. Experience with Power BI