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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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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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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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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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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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or other code repository Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged
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contribute to the teaching activities of the section of Mechanical Engineering by teaching 1-2 courses per semester. You will focus on developing and extending in-house computational codes based on open-source
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. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Links to relevant public code repositories that you may have contributed (optional) 2
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responsible for project milestones and deliverables. Teach and supervise MSc student projects For this position, experience with simulation development and coding is essential. We expect the candidate to have