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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
spectral analysis, signal processing, and advanced data processing methodologies. • Proven experience with TEM field data acquisition, processing, and interpretation. • Strong programming skills
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scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data analysis is an advantage but is not required. We welcome applicants who
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involve scientific programming, analysis and documentation of results, and dissemination through peer-reviewed publications and international conferences. The position is offered within the Center for
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these skills further during your PhD. We expect that you are curious about glaciology, ice sheet processes and/or satellite remote sensing and motivated to learn or further develop programming and data
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) Programming skills necessary - see course description. BA in Linguistics: Studiume Generale (2 hours/week, 13 weeks) (please notice; course in Danish) Qualifications Applicants should have: A solid
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with programming, data handling or data acquisition, and basic IT/server infrastructure. have a relevant technical background or experience in electrical engineering, energy systems, automation, IT, or
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Natural Language Processing in Business Applications Data Visualization and Dashboards Programming for Business Automation and Robotic Process Automation (RPA) Business Economics Behavioral Economics
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interaction, or another field with a strong behavioral focus. Interest or experience in empirical research, such as experimental design, behavioral data, or quantitative analysis. Some programming or
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and hands-on skills Preferred skills: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by
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experience and capability in handling quantitative data and programming. If you already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that