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equivalent to a two-year master's degree. Additional qualifications include: Good programming skills in Python, Julia, R or similar, and familiarity with C, C# or C++. Curiosity and interest in future urban
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that provide analysis of both liquids and gasses. The successful candidate is expected to spend approximately 50% of the time at TOPSOE R&D, located in Lyngby. Principal supervisor: Professor Jan H. Christensen
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environmental modelling, including data science methods such as AI and machine learning Proficiency in GIS and R programming or similar Effective communication skills and experience working with authorities
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of the following qualifications: Extensive experience in programming using Python, R, or other languages Research experience in greenhouse gases, or ecological experiments Insight into global
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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills
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for national and international research grants and make important research contributions. Thrive in both teaching and research roles. Establish effective industrial R&D collaboration. Prior experience in
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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, urban or trade models. Proficiency in Stata. Knowledge of R, Matlab and/or Python. Prior experience in working with spatial data. Documented research track record at international level, including
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learning applied to operations and supply chain management Data-driven demand forecasting Inventory management Time-series modelling Required skills Fluency in either Python, R, or the like Should be able