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teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a department, we value having a pleasant and informal working environment across all job functions at
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Programming skills (particularly in C++ or Python) Simulation Experience with automation hardware and software. Strong mathematics skills and practical knowledge in 3D modelling. Preferably, the candidates have
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processing, or spectroscopy. Familiarity with hyperspectral imaging or related optical imaging methods is an advantage. Strong programming skills in Python and/or MATLAB. Interest in applying machine learning
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with researchers in other disciplines and sectors a research plan detailing the candidate’s ideas and plans for her/his future research work Please note that all the above-mentioned information must be
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MSc in Civil and Engineering, with a specialization track in structural engineering The selected candidate will be enrolled in the Lecturer Training Programme at SDU to strengthen the candidate’s
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qualifications at PhD level at the time of employment. During employment, the assistant professor will complete the Lecturer Training Programme . Employment will be in accordance with the collective agreement
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skills in programming and drone operations. Alongside strong coding competences, the employee is expected to have insight in creation of synthetic drone datasets using Unreal Engine, as well experience in
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completion of a lecturer training programme and a positive performance evaluation, a permanent position for associate professor is normally opened, for which the assistant professor can apply. An associate
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the opportunity to shape our educational programme to benefit from new developments in pedagogical approaches and content. We expect The candidates must have a PhD degree in algebra, algebraic geometry
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the project, with guidance. Relevant example tasks here are: developing data pipelines for processing satellite imagery and collecting data from Sentinel satellites programming and software tasks, e.g. creating