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Field
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proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
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communications Data Analysis and Management Implement and open-source proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C
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Knowledge of electronics, programmable logic, and processing systems is an advantage Strong analytical and programming skills are required (Python, VHDL, Matlab, and C/C++). Prior proven experience in data
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field of study Interest in energy technology and energy economics Experience in energy system modelling is an advantage Basic programming skills, ideally in Python Independent and analytical way
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areas: Scientific programming using Python Data analytics and machine learning techniques Wind energy systems, operations, or related topics In addition, you should be able to work efficiently as part of
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to an interdisciplinary research environment. Previous experience in data analysis and/or programming in, for example, Python or R, is also considered an asset. About the position The doctoral position is offered for four
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research team; excellent communication skills. Good command of Python or a similar programming language is essential. Due to the international character of our research, proficiency in spoken and written
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knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
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monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability
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, Python or similar). Knowledge of European standards for the design of buildings (Eurocodes) Ability to handle big datasets Oral and written presentation skills in Norwegian or another Scandinavian language