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skills (e.g. Matlab, Python or similar). Knowledge of European standards for the design of buildings (Eurocodes) Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an advantage
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themselves with new subject areas. Both working independently and working in a team, e.g. during the measurement campaigns, is particularly demanding. Knowledge of programming languages such as Python is an
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devices Knowledge of Python programming Good knowledge of materials technology, and basic knowledge of environmental assessment of materials Good written and oral English skills PLEASE NOTE: For detailed
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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms
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, ecosystem function measurement); Basic skills in satellite image analysis; Affinity and experience with data analysis and visualization in R, Python or equivalent; Excellent English language skills, both
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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programming background with expierence in using Python, matlab, and/or Java, etc. a good command of German and English, both for teaching and for the preparation of research proposals and publications process
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performance are expected. Required qualifications: Proficiency in programming (primarily Python or MATLAB) Strong communication and collaboration skills, including the ability to work across research groups and