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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
datasets. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding
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sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT
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several research groups in pure and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of Work and
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conduct high-quality and impactful research. A key focus of the position is the study of the role of machine learning and artificial intelligence in healthcare and public policy, including
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, or a related field) A relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine
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well as experience in automated fabrication and mechanical characterization. A solid background in modelling and system identification is essential, with particular emphasis on data-driven and machine-learning–based
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department project that develops lifelong learning opportunities in digitalisation for wind energy. In this role, you will take the lead in defining and executing communications and marketing priorities