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include developing efficient code in Python and Julia to perform numerical optimization of control fields that govern the evolution of the photonic quantum information processor. This includes adaptation
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topics: Predictive Coding of Music, led by Peter Vuust (PI, Director) Multimodal Theme, led by Boris Kleber Music Interactions, led by Peter Keller Meaning of Music, led by Elvira Brattico (PI) and Morten
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was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
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of flora and fauna, ecosystems ecology, environmental sociology, stakeholder engagement and integration, R-coding, GIS, and mapping software will be beneficial. More specifically, we welcome a candidate with
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understand researchers' needs for handling their research data, metadata, data management plans, code, etc.? Do you see the value of data sharing, reuse, and referencing for research? Do you have experience
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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doubts about the quality of the code produced. If you want to investigate the effect that adoption of GenAI has on software development, as well as building tools for mitigating the risks, verifying