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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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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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Research areas will be within algebraic coding theory. While the primary focus is on fundamental research in algebraic coding theory, practical applications in the maritime industry—including secure
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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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at international conferences Publish their findings in international, peer-reviewed journals in a timely fashion Share project-related code and data in open-access formats, in compliance with ethical principles and
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field research (through surveys, interviews, observations, ethnography) Conduct qualitative and quantitative empirical analyses. Experience in coding is required. Collaborate on presenting, writing and
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be conducted on qualified candidates for the position. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Statement of experience with scientific coding/development of numerical methods and
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab